Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo radiative transfer code SIROCCO. The postholder will carry out research involving theoretical and
-
of accelerator physics modelling codes such as Accelerator Toolbox or ELEGANT would be an advantage. The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and
-
-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
-
proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
-
findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
-
may be sought in advance of interview but only with the permission of the candidate. Confirmation of your right to live and work in the UK. *Non UK applicants can apply. Where a share code is provided
-
Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability
-
or clinical domains. Strong knowledge of MRI data formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects
-
Full time, fixed term until (31/10/26) Closing Date: 23:59 on 5th December 2025 Interview Date: 15 December 2025 By reference to the applicable SOC code for this role, sponsorship may be possible
-
formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning