Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Oxford
- Durham University
- University of Cambridge
- KINGS COLLEGE LONDON
- University of Glasgow
- UNIVERSITY OF VIENNA
- University of London
- University of Reading
- AALTO UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- University of Liverpool
- ; Trinity College Dublin, The University of Dublin
- ; University of Duisburg-Essen
- Birmingham City University
- DURHAM UNIVERSITY
- King's College London
- Lancaster University
- Nature Careers
- Swansea University
- University of Hull
- 12 more »
- « less
-
Field
-
work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
-
work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
-
experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
-
experimental medicine studies focusing on energy homeostasis and glucose/lipid homeostasis Data Collection & Analysis: Perform in vivo metabolic testing, blood sample and tissue analyses, and molecular biology
-
Computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and machine
-
Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
-
experimental work involving sensor hardware or un-intrusive methods and be comfortable with handling large amounts of personal and sensitive data. The role requires you to collaborate across disciplines and to
-
work involving sensor hardware or un-intrusive methods and be comfortable with handling large amounts of personal and sensitive data. The role requires you to collaborate across disciplines and to work
-
, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
-
samples. The postholder will use datasets from a large NIH-funded project based in the US to develop methods for jointly analysing dMRI and PS-OCT data. The post holder will be expected to take an