Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Nature Careers
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- QUEENS UNIVERSITY BELFAST
- KINGS COLLEGE LONDON
- University of Leeds
- University of Manchester
- CRANFIELD UNIVERSITY
- UNIVERSITY OF SURREY
- University of London
- University of Oxford
- Brunel University
- Imperial College London
- King's College London
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- University of Leeds;
- ; Technical University of Denmark
- ; University of Oxford
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- Edinburgh Napier University;
- London School of Hygiene & Tropical Medicine;
- Nanyang Technological University
- Nottingham Trent University
- Plymouth University
- Queen's University Belfast
- Swansea University
- Technical University of Denmark
- University of Aberdeen;
- University of Brighton
- University of Bristol
- University of Glasgow
- University of Liverpool
- University of Newcastle
- University of Stirling
- University of Warwick;
- 30 more »
- « less
-
Field
-
computational modelling and multi-level modelling analyses; working closely with the head of the lab and the other team members, and inputting on supervision and line management of current and future research
-
COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
-
the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting
-
people-centric predictive digital technologies to improve disaster and climate resilience) project aims to develop and implement an end-to-end people-centred computational framework (and accompanying
-
across scales ranging from single bacteria, single host cells, 3D in vitro models to infected hosts. We have developed new imaging technologies to visualise the interface between the host and the pathogen
-
scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department
-
of promoting research excellence in Data Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and
-
the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
-
’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department of Women and Children’s Health is a lively and supportive
-
clinical studies, including challenge human infection models. Collaborate on Clinical Trials: Work closely with clinical collaborators to implement statistical methods for ongoing trials at the Doherty