Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- University of Nottingham
- University of Birmingham
- King's College London
- The University of Southampton
- University of Cambridge
- University of Oxford
- CRANFIELD UNIVERSITY
- Nature Careers
- University of London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF MELBOURNE
- University of Leeds
- Cranfield University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SURREY
- University of Surrey
- ; King's College London
- Brunel University
- CZECH UNIVERSITY OF LIFE SCIENCES
- City University London
- Durham University
- Imperial College London
- Manchester Metropolitan University
- Sheffield Hallam University
- St George's University of London
- UNIVERSITY OF GREENWICH
- University of Bristol
- University of Greenwich
- University of Hull
- University of Liverpool
- University of Manchester
- University of Stirling
- 25 more »
- « less
-
Field
-
, knowledge and understanding through teaching and research, for the benefit of individuals and society at large. We have put environmental sustainability and social justice at the heart of our strategy
-
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
-
the Medical Research Council. The Research 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
-
outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new
-
: interoceptive mechanisms of anxiety after cancer’. The award is supporting a large-scale collaborative research programme between KCL, UCL, Stanford University, and the National Cancer Institute (NIH) through
-
. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
-
Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
-
of data on invasions, their impacts and their management. The scientist will also analyse data to quantify the costs and benefits of the use of nonnative trees in forestry. They will use these analyses
-
opportunities, we anticipate a large number of applications at CSER; due to the limited amount of workspace available, we can only forward a small selection of these to the British Academy. Applications should be
-
the disease, using novel methods for analysing complex high-dimensional genetic, transcriptomic and proteomic data linked to health outcomes from large biobanks and smaller clinical cohorts. The Opportunity: We