Institution: Population Health Sciences, Bristol Medical School, University of Bristol
Closing date: 27th April 2021
Salary: £33,797-£40,322 depending on qualifications and experience
Contract: Open-ended, with funding available until 31st May 2024
This is an excellent opportunity for a statistician with an interest in Bayesian modelling to develop their skills and contribute to improving methodology in an important area. You will work with Dr Hayley Jones on a new MRC/NIHR-funded project, to evaluate, extend and develop methods for meta-analysis of diagnostic test accuracy. The focus will be on evidence synthesis of comparative test accuracy and network meta-analysis.
Questions of test accuracy have recently been brought into the limelight by the COVID-19 pandemic: Which of several tests for a disease or condition is best? How accurate, and how cost-effective, is a testing strategy (e.g. Test A then Test B if Test A is positive, or repeated use of Test A)? How can we evaluate how accurate a test is when there is no gold standard to compare against? These are, in fact, important questions across all kinds of clinical areas. This post offers the opportunity to improve and develop statistical methodology to address these questions within a Bayesian evidence synthesis framework.
The position is based at the Department of Population Health Sciences at Bristol Medical School, a leading research institute in the UK and home to the NIHR Health Protection Research Unit in Behavioural Science and Evaluation, the National Institute for Health and Care Excellence (NICE) Guidelines Technical Support Unit and, from April 2022, an NIHR Technology Assessment Review group. In addition to methodological development, you will have the opportunity to work on several applied analyses of test accuracy relevant to NICE and/or PHE, and to disseminate methods developed through training courses and methodological support documents.
The post is available at Research Associate (salary £33,797 – £38,017) or Senior Research Associate (£38,017 – £40,322) level, depending on qualifications and experience.
Full details and how to apply: RA/SRA in Statistical Modelling
For informal enquiries about this position, please contact Dr Hayley Jones (firstname.lastname@example.org)
Job Description — Postdoctoral Research Fellow (Vegetation dynamics in tropical Asia)
The Department of Geography at the National University of Singapore (https://fass.nus.edu.sg/geog/) is seeking one full-time Postdoctoral Research Fellow (RF) with relevant experience to work on vegetation dynamics in tropical Asia. The RF is expected to integrate terrestrial ecosystem models, in-situ collected leaf traits data, existing eddy covariance data and novel remote sensing observations to examine the physiological and structural changes of vegetation in tropical Asia. This position is funded under a Ministry of Education (MOE) Tier 1 award.
The ideal candidate is expected to be highly creative, have strong numerical and critical thinking skills, and a working familiarity with the processes governing the terrestrial carbon cycle. This is a full-time one year appointment with the possibility of renewal contingent on satisfactory job performance and funding availability. We provide competitive salary for the position with the consideration of years of experience post-degree.
The duties of the RF include:
Interested candidates should click here to submit an application comprising: a letter of interest with details of their research experience, interest and future plan (1-2 pages), a full curriculum vitae, contact information for three references and the PDF of your best paper (optional). For full consideration, please submit your application by April 20th, 2021. The posting shall remain open until the position is filled.
NUS is one of the top universities in Asia, and its geography department has recently been ranked as the 5th best in the world. This position offers an excellent environment for working with a highly skilled interdisciplinary team and will provide chances to collaborate with researchers at both national and international institutes.
Please contact Dr. Xiangzhong (Remi) Luo (email@example.com) with any questions regarding the position or application process.
Two year Postdoctoral position at NOAA Global Systems Laboratory in Boulder, CO.
This Postdoctoral researcher will advance the goals of the US Global Change Research Program’s (USGCRP) Climate and Health Monitor and Outlook (CHMO) activity (see: https://dx.doi.org/10.1175/bams-d-20-0054.1], exploring opportunities to transition climate and health research into new national information products and services for vector-borne disease prediction.
PhD Position in Hydrological and climate variability at the Faculty of Environmental Sciences (FES), the Czech University of Life Science in Prague modelling of relationships between climate and human health. The PhD position is embedded in the REES project (Research Excellence in Environmental Sciences) led by Dr. Ales Urban (researcher ID: H-6476-2014). The aim of the REES project is to investigate the impacts of climate variability and change on human health.
The title of the PhD project is: Modelling of relationships between climate variability and seasonal patterns in mortality The aim of the PhD project will be to clarify associations between climate variability and seasonal patterns of mortality and morbidity in the Czech Republic using modern methods of time series analysis. Special focus will be given on the analysis of seasonal patterns of the incidence of infectious diseases, how these patterns are associated with climate variability, and how they affect the general seasonal patterns in mortality and morbidity.
The candidate should have a M.Sc. degree in Environmental Science, Environmental Modelling, Environmental Epidemiology, Climate Science, or related field. We expect the candidate will be self-motivated and interested in the research topic. Good knowledge in statistics, scientific programming and data analysis, and experience in working with tools for the analysis and visualisation of time series data (e.g. R/RStudio, Matlab, or similar) are expected. Additional skills are expected to be gained and improved during the PhD project. The successful candidate will participate in the REES project, will contribute to preparation and submission of research grants, and is expected to participate on these grants in case of successful submission.
For further information please contact Dr. Ales Urban
Stephen Bufton Memorial Education Fund
The Stephen Bufton Memorial Educational Fund exists to provide educational grants and scholarships to women pursuing post-secondary educational goals as well as ongoing professional development in order to support their career advancement and to help them become the role models, mentors and leaders of the future.
Australia Awards Scholarships for African Students with 3rd Class
The Scholarship is offered annually and the deadline for the scholarship is December and March of the academic year.