Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- Durham University
- KINGS COLLEGE LONDON
- University of London
- University of Cambridge
- AALTO UNIVERSITY
- King's College London
- DURHAM UNIVERSITY
- Heriot Watt University
- Imperial College London
- Manchester Metropolitan University
- Nature Careers
- Royal College of Art
- University of Birmingham
- University of Liverpool
- ; University of Cambridge
- Aston University
- Swansea University
- University of Glasgow
- ; University of Kent
- ; University of Oxford
- Cardiff University
- Medical Research Council
- University of Bath
- University of Lincoln
- University of Sheffield
- ; Nanyang Technological University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Sussex
- ; Xi'an Jiaotong - Liverpool University
- Birmingham City University
- City University London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Manchester
- University of Nottingham
- University of West London
- 29 more »
- « less
-
Field
-
anxiety, to work within the established research programme. Substantial hands-on research and professional experience of working with individuals with mental health difficulties, including first-hand
-
learning techniques Skills and Abilities Proficiency in Phyton coding Demonstrate the ability to meet deadlines and work under tight time scales. Show excellent verbal and written English communication
-
spending risk affects savings. Knowledge of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is
-
infrastructure, cloud computing, or digital sovereignty Excellent communication and collaboration skills in English Basic understanding of quantitative methods (e.g. multiple regression) Additional selection
-
will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
-
of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
-
Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
-
the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
-
for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training in research
-
and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing