477 web-programmer-developer-"https:"-"University-of-St"-"https:" Postdoctoral positions in United Kingdom
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recognised NCD Prevention and Food Policy Group on the UKRI-funded project Developing public health policies for the out-of-home food sector to improve diet and reduce obesity, in collaboration with
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and numerical modelling, as well as the development and construction of a new mm facility, The Africa Millimetre Telescope, in Namibia. The successful applicant will be based in Oxford and work
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women’s, and men’s academy teams, and you will play a central role in supporting the development of this collaborative research ecosystem. You will be expected to work from CPFC training ground offices (BR3
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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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The Pathania Laboratory will be moving to the Ludwig Institute for Cancer Research, Oxford Branch, from the University of Cambridge in early 2026. The lab focuses on developing novel, more disease
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-quality research outputs, oversee the management of a Fibre Manufacturing Facility, and drive the development of a transformative endoscopy technology that enables in vivo precision diagnosis of cancers
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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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(headed by Univ. Prof. Dr. Dr. Roger Frie) and will offer you the opportunity to conduct research and teach in an internationally networked team while developing your own research profile. The focus
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Generative Modelling to apply and develop cutting-edge deep generative probabilistic models including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and