Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Nature Careers
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- UNIVERSITY OF MELBOURNE
- Nottingham Trent University
- Queen's University Belfast
- UNIVERSITY OF SURREY
- University of London
- University of Oxford
- University of Oxford;
- University of Warwick;
- CRANFIELD UNIVERSITY
- EMBL-EBI - European Bioinformatics Institute
- Edinburgh Napier University;
- Imperial College London
- KINGS COLLEGE LONDON
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UCL;
- University College London
- University of Brighton
- University of Bristol
- University of Cambridge
- University of Cambridge;
- University of Exeter
- University of Glasgow
- University of Leeds
- University of Liverpool
- University of Nottingham;
- University of Plymouth;
- University of Stirling
- 25 more »
- « less
-
Field
-
clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
-
As a staff member in the Department of Chemistry within the Mathematical, Physical and Life Sciences (MPLS) Division, you will be working in Kavli Oxford as an interdisciplinary institute where
-
, quantitative field, e.g. atmospheric or climate science, meteorology, computer science, data-science, physics, mathematics, statistics, environmental science or related fields Evidence of a good understanding
-
mathematics, computational biology, or a closely related field. Demonstrate a developing research profile with publications and conference presentations. Possess strong skills in statistical computing programs
-
a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
-
You You will have a PhD in malacology, epidemiology, spatial mapping, mathematical modelling or related disciplines and be able to demonstrate a sound understanding of schistosomiasis preparedness and
-
Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
-
over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
-
health researcher is sought with expertise in quantitative surveys, mathematical modeling in nutrition (especially in Sudan), and crisis clinical nutrition program management. The ideal candidate should
-
the application form, which is limited in the number of characters it will allow.) Interviews: 4th and 5th of August 2025. About you The successful candidate must hold a PhD in mathematics or computational biology