625 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Uk
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- KINGS COLLEGE LONDON
- Durham University
- University of London
- University of Cambridge
- King's College London
- University of Liverpool
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- Nature Careers
- University of Oxford;
- Imperial College London
- Aston University
- University of Birmingham
- University of Nottingham
- ; University of Cambridge
- Medical Research Council
- Royal College of Art
- Cardiff University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oxford Brookes University
- Swansea University
- University of Bath
- University of Glasgow
- University of Manchester
- University of Sheffield
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Copenhagen
- ; University of Exeter
- ; University of Oxford
- Birmingham City University
- City University London
- Heriot-Watt University;
- John Innes Centre
- King's College London;
- Lancaster University
- Liverpool School of Tropical Medicine;
- Nanyang Technological University
- Nottingham Trent University
- Royal College of Art;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sheffield Hallam University
- St George's University of London
- The Royal Veterinary College, University of London;
- University of Cambridge;
- University of Dundee;
- University of Essex;
- University of Hull
- University of Leicester
- University of Lincoln
- University of Liverpool;
- University of Newcastle
- University of Reading
- University of Southern Denmark
- University of West London
- 50 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Chemistry
- Economics
- Materials Science
- Mathematics
- Humanities
- Psychology
- Engineering
- Linguistics
- Science
- Arts and Literature
- Law
- Social Sciences
- Earth Sciences
- Environment
- Physics
- Business
- Education
- Philosophy
- Sports and Recreation
- Electrical Engineering
- 13 more »
- « less
-
Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
-
The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
-
will also: Hold a PhD or equivalent in a relevant Physics, Chemistry, Materials Science, or related discipline. Experience of solid state synthesis of polycrystalline transition metal oxides materials
-
and how it may respond to vaccination. You will supervise master’s and PhD students, and support the overall efforts of the lab. This post offers the opportunity to engage in cutting-edge translational
-
Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research
-
project is time limited and will end on 31/12/2027. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in Marine
-
doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. Applicants should hold a PhD/DPhil, (or close
-
52 Faculty of Chemistry Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2029 Reference no.: 4090 Explore and teach
-
& wider impact work). Secondly, you will do qualitative research with Prof. Ben Geiger and Prof. Karen Glaser as part of CSMH’s programme on ‘Work, Welfare Reform and Mental Health’. In particular, you will
-
lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology