24 assistant-professor-computer-science-data-"https:"-"https:" research jobs at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
, genomics, computational biology, data science, or a closely related field, with significant postdoctoral or professional experience in genomic medicine. Extensive hands‑on experience with high‑throughput
-
findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics
-
Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian inference methods and their astrophysical applications. Southampton's School of Mathematical Sciences is home to a
-
The School of Mathematical Sciences invites applications for a Research Fellow position in the field of theoretical high-energy physics. This is a 2-year position envisioned to start in October 2026
-
cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
-
. This is a 3 year fixed term contract in the first instance. An Enhanced DBS Check is required for this role. Visits to Cancer Sciences School are welcomed and can be arranged by contacting Professor Andrew
-
) the contact information of at least two referees. Informal enquiries may be made to Greg Ashton at Gregory.Ashton@ligo.org Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405327
-
. The successful candidate will work part time as clinical research fellow supporting Professor Clark in his NIHR funded research programme on rapid diagnostic tests. The University of Southampton, Faculty
-
The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and
-
An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians