Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- King's College London
- University of Cambridge
- Durham University
- University of London
- Heriot Watt University
- University of Oxford;
- University of Reading
- UNIVERSITY OF VIENNA
- King's College London;
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Glasgow
- University of Liverpool
- Heriot-Watt University;
- Imperial College London
- Manchester Metropolitan University
- Northumbria University;
- Swansea University
- The University of Edinburgh;
- UNIVERSITY OF READING
- University of Birmingham
- University of Cambridge;
- University of Exeter;
- University of Manchester
- University of Newcastle
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- Aarhus University
- Aston University
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Charles University;
- Durham University;
- Imperial College London;
- John Innes Centre
- Lancaster University
- Medical Research Council
- NORTHUMBRIA UNIVERSITY
- Newcastle University
- Sheffield Hallam University
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- The University of Edinburgh
- UCL;
- University of Essex;
- University of Hull
- University of Leeds
- University of Nottingham
- University of Nottingham;
- University of Reading;
- University of Sheffield
- University of West London
- University of York;
- 49 more »
- « less
-
Field
-
interferonopathies [PMID: 34671122]. Our group previously identified a type I interferonopathy associated with homozygous mutation of STAT2 [PMID: 31836668]. We have generated a mouse model of this disorder, in which
-
humanised mouse models with the same mutations as patients, all of which are currently available in the laboratory. Minimum qualifications are PhD and/or MD with expertise in molecular and cellular biology
-
of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
-
project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods
-
and apply cutting-edge techniques in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors
-
About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
-
expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
-
blades. In this role you will: Design, build and optimise optical and inductive thermal NDE rigs for curved, metre‑scale blade sections; Develop and validate forward–inverse heat‑transfer models
-
, environmental simulation and modelling to investigate the surfaces and atmospheres of the terrestrial planets, the Moon, asteroids, comets and extra-terrestrial materials. The post-holder will be expected to work
-
, environmental simulation and modelling to investigate the surfaces and atmospheres of the terrestrial planets, the Moon, asteroids, comets and extra-terrestrial materials. The post-holder will be expected to work