288 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Postdoctoral positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Oxford;
- Durham University
- Nature Careers
- University of Liverpool
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- Heriot Watt University
- AALTO UNIVERSITY
- Aston University
- King's College London
- University of Liverpool;
- University of London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- Imperial College London
- University of Cambridge;
- University of Newcastle
- ;
- LIVERPOOL JOHN MOORES UNIVERSITY
- Queen Mary University of London;
- University of Nottingham
- Imperial College London;
- Newcastle University;
- University of Bath
- University of Glasgow
- University of Lincoln
- University of Manchester
- University of Reading
- VIN UNIVERSITY
- Aston University;
- Cardiff University
- Durham University;
- Ellison Institute of Technology, Oxford Limited
- European Magnetism Association EMA
- Georgetown University
- Heriot-Watt University;
- King's College London;
- Liverpool School of Tropical Medicine;
- Lund University
- Plymouth University
- Queen Mary University of London
- Scotland's Rural College (SRUC);
- St George's, University of London;
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester;
- University of Birmingham
- University of Cambridge
- University of Canterbury, New Zealand;
- University of Dundee;
- University of East London
- University of Glasgow;
- University of Hull;
- University of Reading;
- 46 more »
- « less
-
Field
-
* together with relevant experience. You will have a strong technical background in machine learning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is
-
) and Prof Michael Tarbutt (Imperial College London), together with many-body physicists in London and Birmingham. We also have active collaborations with leading experimental and theoretical groups
-
based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, John Hopkins University (USA), and Google Deepmind (London). About the role The PDRA will lead the
-
, cardiovascular diseases and rare diseases. This specific role focuses on engineering CAR-T cells and developing programmable gene control systems to improve safety and therapeutic efficacy. The successful
-
for the design of sustainable organocatalysts. The project will be supervised by Dr John Ward and Professor Donna Blackmond FRS at the University of Liverpool, and Dr Alexander Ganose at Imperial College London
-
(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as
-
folding. The ability to rapidly learn new techniques is highly desirable, and enthusiasm for working across disciplinary boundaries is essential. Full training will be provided where needed. Prior
-
the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
-
of Prof Simon Cornish (Durham) and Prof Michael Tarbutt (Imperial College London), together with many-body physicists in London and Birmingham. We also have active collaborations with leading experimental
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we