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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
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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
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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
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of the COLIBRE code This post is fixed term for 12 months from the start date. Successful applicants will, ideally, be in post before April 2026.
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, condition number theory, high-dimensional analysis (concentration of measure) and stochastic computation. A record of some high-quality mathematical reports and/or publications, as well as coding skills (e.g
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three short sections: (a) list of simulation codes used (b) your top three publications (c) previous experience in PV materials modelling. Please do not attach any manuscripts, papers, transcripts, mark
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The closing date for applications is 23.59 on 28th November 2025 Interview date: to be confirmed This post is for a fixed-term period of up to 18 months. By reference to the applicable SOC code
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science — sharing code, data and reproducible research practices Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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Contribute to further developments of the COLIBRE code This post is fixed term for 12 months from the start date. Successful applicants will, ideally, be in post before April 2026. Where to apply Website https