Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- University of Cambridge
- University of London
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- University of Liverpool
- UNIVERSITY OF VIENNA
- Nature Careers
- University of Birmingham
- ; University of Cambridge
- Imperial College London
- Royal College of Art
- University of Glasgow
- ; University of Kent
- ; University of Oxford
- ; Xi'an Jiaotong - Liverpool University
- Cardiff University
- 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 Copenhagen
- ; University of Dundee
- ; University of Exeter
- ; University of Southern Denmark
- ; University of Sussex
- Aston University
- Birmingham City University
- Manchester Metropolitan University
- Sheffield Hallam University
- University of Bristol
- University of Hull
- University of Leicester
- University of Lincoln
- University of Manchester
- University of Newcastle
- University of Reading
- University of West London
- 36 more »
- « less
-
Field
-
Information Modelling (BIM) and digital processes that support sustainable, low-emission urban development. His research integrates complex data solutions to enhance decision-making in construction and smart
-
to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and correlating findings with analysis of patient material. You will
-
investigate the “Solar wind outflow and open flux”. Candidates with a strong track record in solar magnetic field modelling, and/or familiarity with solar observational data, are particularly encouraged
-
support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
-
with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
-
. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
-
, alongside strong skills in protein analysis, molecular biology, and imaging techniques. Additional expertise in studying autophagy and using preclinical mouse models of cardiovascular disease are highly
-
Dr Heli Hietala. The postdoc project involves primarily simulations informed by observations, related data analysis and theory/models, comparing various aspects of shock particle acceleration and meso
-
application of this understanding to reprogram root developmental plasticity. We also collaborate with mathematicians to build multi-scale understanding of these complex and important signaling pathways
-
structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise