Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- KINGS COLLEGE LONDON
- University of Oxford
- ;
- King's College London
- University of Cambridge
- Nature Careers
- University of Birmingham
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of London
- ; University of Cambridge
- Aston University
- DURHAM UNIVERSITY
- Birmingham City University
- Heriot Watt University
- Imperial College London
- Medical Research Council
- Royal College of Art
- University of Glasgow
- University of Oxford;
- University of West London
- 12 more »
- « less
-
Field
-
statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
-
statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
-
machine learning, language modelling, computer vision, or applied AI. Familiarity with large, complex datasets and prototyping tools. Experience in successful grant writing. Why Join Us? This is a unique
-
United Kingdom Application Deadline 7 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future
-
collaboration. The PDRA will gain experience in managing a complex bilateral programme, authoring outputs with direct policy impact, and strengthening partnerships that will continue well beyond the funding
-
Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate predictions Ability to work in a team Ability to communicate orally in
-
disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future clinical trials. You'll also benefit
-
to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
-
these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic