Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of London
- KINGS COLLEGE LONDON
- Durham University
- University of Oxford;
- Aston University
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- Oxford Brookes University
- University of Liverpool
- ; Royal Holloway, University of London
- AALTO UNIVERSITY
- City University London
- Nottingham Trent University
- University of Cambridge;
- University of Essex;
- University of Manchester
- University of Newcastle
- 12 more »
- « less
-
Field
-
administrative tasks. Qualifications and Skills You should have a PhD (or be near completion) in Sociology, Psychology, Education, Statistics, or any related field. You should have a strong interest in empirical
-
PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
-
Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming
-
the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical
-
specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the ability to work co
-
specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the ability to work co
-
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
-
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
-
. 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
-
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