Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Nottingham
- KINGS COLLEGE LONDON
- Nature Careers
- University of Cambridge
- The University of Southampton
- King's College London
- UNIVERSITY OF SURREY
- CRANFIELD UNIVERSITY
- UNIVERSITY OF MELBOURNE
- QUEENS UNIVERSITY BELFAST
- University of Surrey
- Cranfield University
- Imperial College London
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- UNIVERSITY OF GREENWICH
- University of Greenwich
- University of Hull
- University of Leeds
- University of Liverpool
- University of London
- 15 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
-
to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
-
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
-
Charter Gold Award. About the role The appointee will participate in a large, multi-institutional and multidisciplinary project part of the The Severe Presentation of Infectious Disease (SPID) Genomic
-
/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
-
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
-
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
-
very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
-
. 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
-
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