Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Birmingham
- Nature Careers
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of London
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SURREY
- KINGS COLLEGE LONDON
- University of Leeds
- The University of Southampton
- University of Oxford
- Queen's University Belfast
- University of Glasgow
- University of Manchester
- UNIVERSITY OF MELBOURNE
- University of Surrey
- Brunel University
- CRANFIELD UNIVERSITY
- King's College London
- London School of Hygiene & Tropical Medicine;
- UCL;
- University of Brighton
- University of Leeds;
- University of Sheffield
- University of Surrey;
- ; Technical University of Denmark
- ; University of Oxford
- Anglia Ruskin University;
- Aston University
- CRUK Scotland Institute
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- Edinburgh Napier University;
- Imperial College London
- Nanyang Technological University
- Northumbria University;
- Nottingham Trent University
- Plymouth University
- Robert Gordon University;
- Swansea University
- Technical University of Denmark
- University of Aberdeen;
- University of Birmingham;
- University of Bristol
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Liverpool
- University of Newcastle
- University of Nottingham;
- University of Stirling
- University of Warwick;
- 44 more »
- « less
-
Field
-
of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
-
have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis; Writing reports and
-
Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
-
systems, ML model training, and model deployment, and demonstrated record of advising non-technical stakeholders on technical topics. Excellent communications skills, previous experience of contributing
-
and identification of pathology specific biological targets for treatment options. Finally, we will integrate our engine exhaust exposure models as an exemplar IPF driver to understand mechanisms
-
of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
-
optimise models of traumatic injury to determine changes in the fibrinolytic response due to the type of injury. Additionally, you will study platelet activation, aggregation and secretion to understand how
-
have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis; Writing reports and
-
/rehabilitation applications. It is expected that the application has the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations
-
AML, by employing an integrated molecular approach encompassing RNA-seq, ChiP-seq and mouse modelling coupled with gene silencing technology. The post is based in the Faculty of Health and Medical