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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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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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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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, 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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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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, including in Warwick, Glasgow, Sydney, Amsterdam and Munich. The role: The main purpose of the position is to develop predictive computational models of epigenetic dynamics, collaborating particularly with
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. The position holder will have primary responsibility for conducting the analysis and material and economic modelling in collaboration with ISR colleagues and our UK and Canadian project partners. This post is
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prepare the work for publication. You will have a PhD/DPhil in health modelling, or related subject such as health economics or public health. You will need strong data analysis skills (such as in STATA and
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document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are