Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oxford
- ;
- University of Cambridge
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of London
- King's College London
- University of Oxford;
- AALTO UNIVERSITY
- Aston University
- DURHAM UNIVERSITY
- Durham University
- Heriot Watt University
- University of Liverpool
- City University London
- Northumbria University;
- Nottingham Trent University
- Oxford Brookes University
- University of Cambridge;
- University of Essex;
- University of Exeter
- University of Manchester
- University of Newcastle
- 13 more »
- « less
-
Field
-
the development of study protocols in collaboration with PPIE representatives for ethical review submission. Strong knowledge and hands-on experience in data collection, secure data storage, and statistical
-
the development of study protocols in collaboration with PPIE representatives for ethical review submission. Strong knowledge and hands-on experience in data collection, secure data storage, and statistical
-
subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
-
. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
-
analysis of data from a Nipah virus vaccine trial, using machine learning and statistical tools to identify immune response markers for future trials. You will be responsible for developing new and adapting
-
, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
-
in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
-
to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
-
research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
-
research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author