Sort by
Refine Your Search
-
) Application Deadline 11 Feb 2026 - 23:59 (UTC) Country United Kingdom Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
-
Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
-
) Country United Kingdom Application Deadline 2 Feb 2026 - 23:59 (UTC) Type of Contract Permanent Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the role - The role-holder will work collaboratively to support this
-
Deadline 19 Jan 2026 - 23:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 36.25 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description An exciting opportunity has arisen for a brain stimulation
-
market equilibria—using tools from machine learning. The successful candidate will be expected to maintain a vibrant, externally funded research program, teach and mentor undergraduate and graduate
-
Deadline 2 Feb 2026 - 23:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 36.25 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply
-
the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering