Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- King's College London
- University of Birmingham
- The University of Southampton
- Nature Careers
- University of Cambridge
- CRANFIELD UNIVERSITY
- University of Nottingham
- UNIVERSITY OF MELBOURNE
- Cranfield University
- QUEENS UNIVERSITY BELFAST
- University of Leeds
- ; King's College London
- City University London
- Durham University
- Imperial College London
- Manchester Metropolitan University
- RMIT UNIVERSITY
- St George's University of London
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- University of Greenwich
- University of Hull
- University of Liverpool
- University of London
- University of Stirling
- University of Surrey
- 19 more »
- « less
-
Field
-
factors underlying this condition. The project will involve analyzing genetic data from a large cohort of sudden death victims and conducting prospective family screening to identify family members at risk
-
properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
-
a multidisciplinary team under the guidance of Brijesh Dongol (PI) and Gregory Chockler (co-I), as well as a large team of academics (Imperial, Kent, Sheffield, MPI-SWS, Cornell, IMDEA, etc) and
-
Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
-
/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
-
Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people
-
generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
-
. This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable
-
collaborators. The post is currently available for a start date as soon as possible from 1st July 2025, but later start dates can be negotiated. You will have a PhD in Astrophysics, Applied Mathematics, or a
-
for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings