Curso de introducción a R, que se realizará los días 5, 6, 7 y 8de Abril de 2011Más información
Curso de introducción a los Modelos Mixtos con R, que se realizarálos días 3, 4, 5 y 6 de Mayo de 2011.Más información
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H.G.Wells
viernes, 4 de marzo de 2011
jueves, 3 de marzo de 2011
Postgraduate Studentships
School of Mathematics, Statistics and Actuarial Science
University of Kent
The School of Mathematics, Statistics and Actuarial Science at Kent offers a lively research culture with a thriving group of taught and research postgraduate students. We expect to award several PhD studentships in 2011 to highly motivated applicants interested in doctoral studies in mathematics, statistics or actuarial science.
In the 2008 Research Assessment Exercise (RAE), Kent was ranked 24th out of 159 institutions for world-leading research, with eight of our subject areas (including statistics) in the top ten nationwide. Kent is among the best research-intensive universities in the UK, with over 55% of our research deemed to be world-leading or internationally excellent. Details of the research undertaken by the School can be found at:
http://www.kent.ac.uk/IMS/index.html
SMSAS PhD studentships cover tuition fees at the Home/EU rate and provide a maintenance grant at the same rate as the UK Research Councils (£13,590 per annum in 2010-11).
Entry Requirements
Our studentships are open to candidates of all nationalities applying to the PhD programme in Actuarial Science, Mathematics or Statistics. All candidates must have (or expect to gain) a good Honours degree (either first or upper second class) and preferably an MMath or Masters degree in a relevant subject.
Contact
For further information on the school and the possibility of doctoral studies at Kent, contact imspg-admiss@kent.ac.uk
To ensure full consideration for a SMSAS studentship, please submit your complete application before 25 March 2011.
To apply please fill in the online application form available at http://www.kent.ac.uk/studying/postgrad/apply/index.html
University of Kent
The School of Mathematics, Statistics and Actuarial Science at Kent offers a lively research culture with a thriving group of taught and research postgraduate students. We expect to award several PhD studentships in 2011 to highly motivated applicants interested in doctoral studies in mathematics, statistics or actuarial science.
In the 2008 Research Assessment Exercise (RAE), Kent was ranked 24th out of 159 institutions for world-leading research, with eight of our subject areas (including statistics) in the top ten nationwide. Kent is among the best research-intensive universities in the UK, with over 55% of our research deemed to be world-leading or internationally excellent. Details of the research undertaken by the School can be found at:
http://www.kent.ac.uk/IMS/index.html
SMSAS PhD studentships cover tuition fees at the Home/EU rate and provide a maintenance grant at the same rate as the UK Research Councils (£13,590 per annum in 2010-11).
Entry Requirements
Our studentships are open to candidates of all nationalities applying to the PhD programme in Actuarial Science, Mathematics or Statistics. All candidates must have (or expect to gain) a good Honours degree (either first or upper second class) and preferably an MMath or Masters degree in a relevant subject.
Contact
For further information on the school and the possibility of doctoral studies at Kent, contact imspg-admiss@kent.ac.uk
To ensure full consideration for a SMSAS studentship, please submit your complete application before 25 March 2011.
To apply please fill in the online application form available at http://www.kent.ac.uk/studying/postgrad/apply/index.html
Research Associate in Medical Statistics
University College London - Epidemiology and Public Health
Full Time
The appointment will be on UCL Grade 7. The salary range will be £31,778-£38,441 per annum, inclusive of London Allowance.
Duties and Responsibilities
Applications are sought from experienced statisticians with expertise in analysing large longitudinal datasets. The post holder will lead statistical analyses on large longitudinal datasets in CALIBER (CArdiovascular disease research LInking Bespoke studies and Electronic Records), exploiting the linkage of the national register of acute coronary syndromes (MINAP) with the primary care record from the General Practice Research Database (GPRD), resulting in over 50,000 coronary endpoints. You will work closely with clinicians and other researchers, and take responsibility for the design, analysis, and reporting of results for peer reviewed publications. The post is funded by the Wellcome Trust for a period of 30 months in the first instance.
Key Requirements
Applicants must have a postgraduate qualification in medical statistics or closely related discipline, and experience working as a statistician in collaborative clinical research leading to peer reviewed publications. Expertise in key aspects of study design and analysis, particularly applied to large, longitudinal datasets (for example, survival analysis, Bayesian approaches, and multi-level modeling) is required. Experience in the use of statistical packages is essential together with good verbal and written communication skills, including the ability to explain complex statistical issues to non-statisticians. A knowledge of electronic health records (in primary care and disease registries) is desirable but not essential.
Further Details
For further details about the vacancy and how to apply on line please go to http://www.ucl.ac.uk/hr/jobs/ and search on Reference Number 1178456. Interested candidates are invited to contact Prof Harry Hemingway for an informal discussion about this post: email: h.hemingway@ucl.ac.uk, telephone: 020 3108 3084. If you have any queries regarding the application process please contact Floriana Bortolotti (020 7679 1681, f.bortolotti@ucl.ac.uk). UCL Taking Action for Equality
Closing Date 28 Mar 2011
Latest time for the submission of applications Midday
Interview date 8th April
Full Time
The appointment will be on UCL Grade 7. The salary range will be £31,778-£38,441 per annum, inclusive of London Allowance.
Duties and Responsibilities
Applications are sought from experienced statisticians with expertise in analysing large longitudinal datasets. The post holder will lead statistical analyses on large longitudinal datasets in CALIBER (CArdiovascular disease research LInking Bespoke studies and Electronic Records), exploiting the linkage of the national register of acute coronary syndromes (MINAP) with the primary care record from the General Practice Research Database (GPRD), resulting in over 50,000 coronary endpoints. You will work closely with clinicians and other researchers, and take responsibility for the design, analysis, and reporting of results for peer reviewed publications. The post is funded by the Wellcome Trust for a period of 30 months in the first instance.
Key Requirements
Applicants must have a postgraduate qualification in medical statistics or closely related discipline, and experience working as a statistician in collaborative clinical research leading to peer reviewed publications. Expertise in key aspects of study design and analysis, particularly applied to large, longitudinal datasets (for example, survival analysis, Bayesian approaches, and multi-level modeling) is required. Experience in the use of statistical packages is essential together with good verbal and written communication skills, including the ability to explain complex statistical issues to non-statisticians. A knowledge of electronic health records (in primary care and disease registries) is desirable but not essential.
Further Details
For further details about the vacancy and how to apply on line please go to http://www.ucl.ac.uk/hr/jobs/ and search on Reference Number 1178456. Interested candidates are invited to contact Prof Harry Hemingway for an informal discussion about this post: email: h.hemingway@ucl.ac.uk, telephone: 020 3108 3084. If you have any queries regarding the application process please contact Floriana Bortolotti (020 7679 1681, f.bortolotti@ucl.ac.uk). UCL Taking Action for Equality
Closing Date 28 Mar 2011
Latest time for the submission of applications Midday
Interview date 8th April
Research Assistant in Statistics
University College London - Institute of Child Health, Centre for Paediatric Epidemiology and Biostatistics
Full Time
The appointment will be on UCL Grade 6. The salary range will be £27,796 - £29,318 per annum depending on skills and experience, inclusive of London Allowance.
Duties and Responsibilities
We are looking for an enthusiastic researcher/statistician to join the MRC Centre of Epidemiology for Child Health to work on a portfolio of projects consisting of various genetic epidemiology projects, including genomewide association studies and investigation of gene- environment interactions. This post offers an excellent opportunity to undertake important research that helps to identify the contribution of genetic and environmental factors on our health. It will allow the researcher to develop and apply their skills and use a range of research methods within the context of a multidisciplinary research group and extensive research collaborations. The post is initially funded for 30 months.
Key Requirements
Applicants must have an MSc in statistics or genetic epidemiology or another relevant discipline. The postholder must have experience of handling large and complex datasets, including file manipulation using standard software packages such as Stata, PLINK, R, SAS, MLwin or Mplus. A good working knowledge of research methods in statistics and/or genetic epidemiology is essential. The postholder must have good written and verbal communication skills as well as the ability to work as part of a team and independently.
Further Details
For further details about the vacancy and how to apply on line please go to http://www.ucl.ac.uk/hr/jobs/ and search on Reference Number 1178292. If you have any queries regarding the vacancy or the application process, please contact Daniel Henniker on d.henniker@ich.ucl.ac.uk or 020 7905 2742, UCL Taking Action for Equality
Closing Date 17 Mar 2011
Interview date 29/03/2011
Full Time
The appointment will be on UCL Grade 6. The salary range will be £27,796 - £29,318 per annum depending on skills and experience, inclusive of London Allowance.
Duties and Responsibilities
We are looking for an enthusiastic researcher/statistician to join the MRC Centre of Epidemiology for Child Health to work on a portfolio of projects consisting of various genetic epidemiology projects, including genomewide association studies and investigation of gene- environment interactions. This post offers an excellent opportunity to undertake important research that helps to identify the contribution of genetic and environmental factors on our health. It will allow the researcher to develop and apply their skills and use a range of research methods within the context of a multidisciplinary research group and extensive research collaborations. The post is initially funded for 30 months.
Key Requirements
Applicants must have an MSc in statistics or genetic epidemiology or another relevant discipline. The postholder must have experience of handling large and complex datasets, including file manipulation using standard software packages such as Stata, PLINK, R, SAS, MLwin or Mplus. A good working knowledge of research methods in statistics and/or genetic epidemiology is essential. The postholder must have good written and verbal communication skills as well as the ability to work as part of a team and independently.
Further Details
For further details about the vacancy and how to apply on line please go to http://www.ucl.ac.uk/hr/jobs/ and search on Reference Number 1178292. If you have any queries regarding the vacancy or the application process, please contact Daniel Henniker on d.henniker@ich.ucl.ac.uk or 020 7905 2742, UCL Taking Action for Equality
Closing Date 17 Mar 2011
Interview date 29/03/2011
University Postdoctoral Research Fellowships in Statistics (2 posts). Termina el plazo mañana
University of Cambridge - Department of Pure Mathematics and Mathematical Statistics
Salary: £27,319 - £35,646 pa
Limit of tenure: 3 years
Applications are invited for two Postdoctoral Research Fellowships in Statistics, to be held in the Statistical Laboratory. The Fellowships are available for three years, commencing on 1 September 2011. Appointment will be made at an appropriate point on the University's Postdoctoral Research Associate scale. The successful candidates will have a PhD and have demonstrated a capability to produce world class research. These Research Fellowships are associated with a major expansion of personnel and activities in core statistical methodology and its applications.
Applications should be sent by email to the Director of the Statistical Laboratory (email: vacancies@statslab.cam.ac.uk) and should include a full curriculum vitae, list of publications and the contact details of two academic referees. Applicants are required to include a research proposal of not more than 2 pages setting out their research aims and objectives. The application should be accompanied by a completed form CHRIS/6 Parts I and III (downloadable from http://www.admin.cam.ac.uk/offices/hr/forms/chris6/). Applicants should ask their referees to email references directly to the Director of the Statistical Laboratory (email as above) to arrive by the closing date.
Informal enquiries can be directed to Professor A.P. Dawid (email: a.p.dawid@statslab.cam.ac.uk).
Further particulars can be found at www.statslab.cam.ac.uk/Vacancies/.
Please quote reference LF07669 when applying.
Quote Reference: LF07669,
Closing Date: 4 March 2011
The University values diversity and is committed to equality of opportunity.
Salary: £27,319 - £35,646 pa
Limit of tenure: 3 years
Applications are invited for two Postdoctoral Research Fellowships in Statistics, to be held in the Statistical Laboratory. The Fellowships are available for three years, commencing on 1 September 2011. Appointment will be made at an appropriate point on the University's Postdoctoral Research Associate scale. The successful candidates will have a PhD and have demonstrated a capability to produce world class research. These Research Fellowships are associated with a major expansion of personnel and activities in core statistical methodology and its applications.
Applications should be sent by email to the Director of the Statistical Laboratory (email: vacancies@statslab.cam.ac.uk) and should include a full curriculum vitae, list of publications and the contact details of two academic referees. Applicants are required to include a research proposal of not more than 2 pages setting out their research aims and objectives. The application should be accompanied by a completed form CHRIS/6 Parts I and III (downloadable from http://www.admin.cam.ac.uk/offices/hr/forms/chris6/). Applicants should ask their referees to email references directly to the Director of the Statistical Laboratory (email as above) to arrive by the closing date.
Informal enquiries can be directed to Professor A.P. Dawid (email: a.p.dawid@statslab.cam.ac.uk).
Further particulars can be found at www.statslab.cam.ac.uk/Vacancies/.
Please quote reference LF07669 when applying.
Quote Reference: LF07669,
Closing Date: 4 March 2011
The University values diversity and is committed to equality of opportunity.
Research Fellow in Clinical Trial Statistics Imperial College London
Salary: £36,040 - £47,450
The Imperial Clinical Trials Unit (ICTU) is a clinical trials unit working across Imperial College London, Imperial College Healthcare NHS trust, the Royal Brompton and Harefield NHS Foundation Trust and affiliated NHS trusts to deliver world class clinical trials of all phases. Core staff are based predominately within the National Heart and Lung Institute and the School of Public Health.
The post will be based within the International Centre for Circulatory Health (ICCH) and within the Imperial Clinical Trials Unit (ICTU). As the post-holder, you will be expected to provide statistical support for a wide range of clinical trials and research studies within the Cardiovascular and Metabolic Groups (ICTU-CM) and ICCH. You will also be expected to spend time working closely with staff within the wider Imperial Clinical Trials Unit to provide statistical support to the work of other trials and studies taking place across the unit. You will also play a key role in the evolution of a statistical and methodological group supporting clinical trials of all phases.
You must have a PhD in Statistics, Epidemiology or a related quantitative subject, or equivalent experience. Experience of clinical trial analysis, a high analytical ability and co-authorship of published papers or abstracts are also essential to this post.
This post is full-time and fixed-term for 2 years in the first instance, and is based at St Mary's Campus.
Informal enquiries are to be directed to Professor Neil Poulter (n.poulter@imperial.ac.uk) or Professor Deborah Ashby (deborah.ashby@imperial.ac.uk).
Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select "Job Search" then enter the job title or vacancy reference number into "Keywords"). Please complete and upload an application form as directed.
Alternatively, if you are unable to apply online, please contact the HR Assistant on 020 7594 1956 or email rb.recruitment@imperial.ac.uk to request an application form.
Job Reference: RB020-11
Closing Date: 24 March 2011
Interview Date: 4 April 2011
The Imperial Clinical Trials Unit (ICTU) is a clinical trials unit working across Imperial College London, Imperial College Healthcare NHS trust, the Royal Brompton and Harefield NHS Foundation Trust and affiliated NHS trusts to deliver world class clinical trials of all phases. Core staff are based predominately within the National Heart and Lung Institute and the School of Public Health.
The post will be based within the International Centre for Circulatory Health (ICCH) and within the Imperial Clinical Trials Unit (ICTU). As the post-holder, you will be expected to provide statistical support for a wide range of clinical trials and research studies within the Cardiovascular and Metabolic Groups (ICTU-CM) and ICCH. You will also be expected to spend time working closely with staff within the wider Imperial Clinical Trials Unit to provide statistical support to the work of other trials and studies taking place across the unit. You will also play a key role in the evolution of a statistical and methodological group supporting clinical trials of all phases.
You must have a PhD in Statistics, Epidemiology or a related quantitative subject, or equivalent experience. Experience of clinical trial analysis, a high analytical ability and co-authorship of published papers or abstracts are also essential to this post.
This post is full-time and fixed-term for 2 years in the first instance, and is based at St Mary's Campus.
Informal enquiries are to be directed to Professor Neil Poulter (n.poulter@imperial.ac.uk) or Professor Deborah Ashby (deborah.ashby@imperial.ac.uk).
Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select "Job Search" then enter the job title or vacancy reference number into "Keywords"). Please complete and upload an application form as directed.
Alternatively, if you are unable to apply online, please contact the HR Assistant on 020 7594 1956 or email rb.recruitment@imperial.ac.uk to request an application form.
Job Reference: RB020-11
Closing Date: 24 March 2011
Interview Date: 4 April 2011
Becario Estadística o Matemáticas EUROSTARS Bcn
Descripción
Puesto vacante: Becario Estadística o Matemáticas
Categorías: Marketing y comunicación - Investigación de mercados
Número de vacantes: 1
Descripción de la oferta: Gran compañía líder en el sector hotelero con más de 2000 hoteles asociados en 40 países de tres continentes diferentes y considerado como el cuarto consorcio hotelero a nivel mundial y el primero a nivel europeo busca jovenes profesionales como consecuencia de la fuerte expansión de nuestra cadena tanto a nivel nacional como internacional.
Necesitamos incorporar a un Becario para el departamento de REVENUE.
Colaborará en la optimización de ingresos, en el análisis de la competencia y la gestión de las tarifas en función de los acontecimientos o eventos de la ciudad de origen del hotel.
Colaborará en el control riguroso de la evolución de las ventas de nuestros hoteles.
Requisitos
Estudios mínimos: Diplomado - Estadística
Experiencia mínima: No Requerida
Requisitos mínimos: Estar realizando Diplomatura de Estadística o Licenciatura de Matemáticas y haber superado el 50% de los créditos para poder realizar Convenio de Prácticas.
Más información
Puesto vacante: Becario Estadística o Matemáticas
Categorías: Marketing y comunicación - Investigación de mercados
Número de vacantes: 1
Descripción de la oferta: Gran compañía líder en el sector hotelero con más de 2000 hoteles asociados en 40 países de tres continentes diferentes y considerado como el cuarto consorcio hotelero a nivel mundial y el primero a nivel europeo busca jovenes profesionales como consecuencia de la fuerte expansión de nuestra cadena tanto a nivel nacional como internacional.
Necesitamos incorporar a un Becario para el departamento de REVENUE.
Colaborará en la optimización de ingresos, en el análisis de la competencia y la gestión de las tarifas en función de los acontecimientos o eventos de la ciudad de origen del hotel.
Colaborará en el control riguroso de la evolución de las ventas de nuestros hoteles.
Requisitos
Estudios mínimos: Diplomado - Estadística
Experiencia mínima: No Requerida
Requisitos mínimos: Estar realizando Diplomatura de Estadística o Licenciatura de Matemáticas y haber superado el 50% de los créditos para poder realizar Convenio de Prácticas.
Más información
TUTOR/A DE FORMACIÓN PARA CURSO MINITAB (Estadística)
Descripción
Minitab es el principal software del mundo para la enseñanza de estadística, para ello buscamos un tutor/a de formación continua(on line o a distancia) para empresa, duración 80 horas, disponibilidad por la mañana.Muy importante conocer el programa y su manejo, además se valorará experiencia en la formación.
HUELVA
Información de contacto
Código del anuncio OM\2011\001065
Interesados consultar el siguiente enlace:
ws054.juntadeandalucia.es
Más información
Minitab es el principal software del mundo para la enseñanza de estadística, para ello buscamos un tutor/a de formación continua(on line o a distancia) para empresa, duración 80 horas, disponibilidad por la mañana.Muy importante conocer el programa y su manejo, además se valorará experiencia en la formación.
HUELVA
Información de contacto
Código del anuncio OM\2011\001065
Interesados consultar el siguiente enlace:
ws054.juntadeandalucia.es
Más información
Spatial Analysis in Epidemiology in Turin
Durante el 20, 21 y 22 de junio de 2011 se celebrará en Turín (Italia) el curso "Análisis espacial en Epidemiología". El curso está organizado por los proyectos Ineq-Cities (Socio-economic inequalities in mortality: evidence and policies in cities of Europe), EPIWORK (Developint the Framework for an epidemic forecast infraestructure) y el Master de Epidemiología de la Universidad de Turín.
Este curso se dirige a personal epidemiológico, personal biestadístico, personas interesadas en salud pública y epidemiología, estudiantes de master de estos ámbitos.
Díptico del curso
miércoles, 2 de marzo de 2011
PROGRAMADOR/A ESTADÍSTICA Barcelona
Requisitos
Estudios mínimos: Diplomado - Estadística
Experiencia mínima: Al menos 3 años
Requisitos mínimos: - Titulación: Diplomado en Estadística, Licenciado en Ingeniería de Software o Matemáticas.
Conocimientos requeridos:
- Bases de Datos (Access, SQLserver)
- ASP
- Conocimientos matemáticos y estadísticos.
- Herramientas de Análisis (STATA, SPSS, otras)
- Manejo de herramientas Office (Excel (a nivel macros), otros).
- Inglés medio.
Capacidades:
- Análisis y resolutivo
- Trato con personas
- Aprender y compartir conocimientos
- Trabajo en equipo
Más información
Estudios mínimos: Diplomado - Estadística
Experiencia mínima: Al menos 3 años
Requisitos mínimos: - Titulación: Diplomado en Estadística, Licenciado en Ingeniería de Software o Matemáticas.
Conocimientos requeridos:
- Bases de Datos (Access, SQLserver)
- ASP
- Conocimientos matemáticos y estadísticos.
- Herramientas de Análisis (STATA, SPSS, otras)
- Manejo de herramientas Office (Excel (a nivel macros), otros).
- Inglés medio.
Capacidades:
- Análisis y resolutivo
- Trato con personas
- Aprender y compartir conocimientos
- Trabajo en equipo
Más información
Suscribirse a:
Entradas (Atom)