Sort by
Refine Your Search
-
MyWorld Project As part of the £35m MyWorld programme, we are searching for two motivated individuals to create the next generation of content capture and creation tools for the creative industries
-
About the role The Department of Chemistry at Bath has a vacant fixed-term Computational/Physical Chemistry Lectureship position (teaching only), which is available from September 2025 to August
-
also promote, administer and distributes a wide range of university-related funds to ensure appropriate financial support is allocated to those most in need, as well as advocating on student’s behalf and
-
to gather spatial distribution data on bats across North Somerset to enable sustainable development. This project is supported by The National Lottery Heritage Fund with thanks to National Lottery players
-
About the role We are seeking an expert individual with project management and communication skills to lead our EPSRC UK-HyRES flagship programme, which is led by Professor Chris Brace. This role
-
detailed communication plans with persuasive messaging in sync with project achievements. Provide expert internal communications guidance to executive project and programme sponsors, addressing communication
-
leadership of their own research programme. The ideal candidate will have the following qualifications and attributes: A PhD in mathematics, theoretical physics, or a closely related discipline (or expected
-
ioMosaic Ltd, the Department of Chemical Engineering and the Department of Computer Science at the University of Bath, you will have the opportunity to work on a challenging and exciting project, using
-
for Behavioural and cognitive Psychotherapists (BABCP) level 2 accreditation. The post holder is accountable to external PSRBs (BABCP) for maintaining governance compliance and reports to the Co-Programme Directors
-
operation, aligned with financial and operational incentives. The ideal candidate will have: A PhD in Computer Science or a related field Experience in developing and evaluating reinforcement learning systems