Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- University of Cambridge
- University of London
- Heriot Watt University
- King's College London
- University of Oxford;
- Nature Careers
- Aston University
- Imperial College London
- Manchester Metropolitan University
- University of Liverpool
- ; University of Cambridge
- King's College London;
- Swansea University
- University of Birmingham
- Heriot-Watt University;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northumbria University;
- Oxford Brookes University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF READING
- University of Exeter
- University of Glasgow
- University of Lincoln
- University of Manchester
- University of Reading
- ; University of Copenhagen
- Aston University;
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Durham University;
- John Innes Centre
- Medical Research Council
- NORTHUMBRIA UNIVERSITY
- Nottingham Trent University
- Oxford Brookes University;
- Royal College of Art
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- The University of Edinburgh;
- University of Bath
- University of Exeter;
- University of Glasgow;
- University of Hull
- University of Leicester
- University of Nottingham
- University of Sheffield
- University of West London
- Xi'an Jiaotong - Liverpool University
- 45 more »
- « less
-
Field
-
. The successful applicant will support a multi-institutional team of computational biologists, immunologists and microbiologists to fully characterise the role of, and the interactions between, bacteria genotype
-
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
-
cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes
-
of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
-
genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • Employee Assistant Programme (EAP) • Generous Annual Leave
-
to completion of a PhD or equivalent qualification in computational fluid dynamics or applied mathematics. What we offer At the university of Oxford your happiness and wellbeing at work is important to us. We
-
) Country United Kingdom Application Deadline 29 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
-
) Country United Kingdom Application Deadline 29 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
-
, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction
-
experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models