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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models
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the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics, Statistical Machine Learning, Deep Generative Modelling, or a closely related field, together with relevant
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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
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programme of our growing team, on the post-transcriptional processes that control the assembly of cortical circuits in the mammalian brain. The post will involve working with transgenic mouse models
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Applications are invited for a Postdoctoral Research Assistant position in supernova cosmology and time-domain astrophysics, working with data from Rubin Observatory, 4MOST, Euclid, and low-redshift
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workflows to predict MoSS formation. The successful candidate will be involved in the supervision of a PhD student during the duration of the position and will have significant of opportunities for career
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, Materials Science of related subject 2. PhD in Materials modelling, computational physics or related subject (either complete or close to completion) 3. Excellent skills in programming and data
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involve undertaking full time research in grid connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations
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Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 2 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier