Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of Cambridge
- University of London
- Durham University
- King's College London
- AALTO UNIVERSITY
- Heriot Watt University
- DURHAM UNIVERSITY
- University of Liverpool
- UNIVERSITY OF VIENNA
- University of Birmingham
- ; University of Kent
- Nature Careers
- Royal College of Art
- ; University of Oxford
- Imperial College London
- Medical Research Council
- Swansea University
- ; King's College London
- ; Nanyang Technological University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- ; University of Sussex
- ; Xi'an Jiaotong - Liverpool University
- Aston University
- Birmingham City University
- Manchester Metropolitan University
- Sheffield Hallam University
- University of Glasgow
- University of Hull
- University of Leicester
- University of Lincoln
- University of Manchester
- University of Newcastle
- University of Reading
- University of West London
- 32 more »
- « less
-
Field
-
The GEOCLOUD project team will use the cloud policy dataset together with infrastructure and usage data developed in other work packages to model how policies influence cloud geography and computational
-
in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and conducting experimental studies in a mechanical engineering laboratory
-
microscopy, as well as in developing approaches to track cell migration in the spleen in real time. Extensive experience with immunization and infection models is also essential. Experience in independently
-
collaboration with Prof. Giovanna Tinetti and her team and collaborators at KCL. The main purpose of this role is to develop new and/or to use existing models to simulate the atmospheres of exoplanets and use
-
analytical modelling, health inequalities research, and evidence synthesis. By leveraging these diverse approaches, we strive to produce evidence-based research that strengthen public health and inform policy
-
skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential To apply online for this vacancy and to view further
-
Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
-
developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
-
data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a
-
Prof. Luigi Rizzi (Collège de France), seeks to investigate the acquisition of French from a cartographic perspective, employing the Growing Trees model developed by Friedmann, Belletti, and Rizzi, and