132 web-programmer-developer-"https:"-"https:" Postdoctoral positions at University of Oxford in United Kingdom
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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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social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in
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research programme on “Enabling consumers to make healthy financial choices”, focusing on how technological and organisational solutions can improve financial literacy and decision-making. This post, under
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. The role spans two cutting-edge research projects developing digital tools for faster, smarter battery testing and advanced management systems to enhance battery performance in heavy industry. You’ll develop
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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and develop new scientific techniques to visualise macrophage innate signalling (focus on inflammasome signalling) using microscopy and the latest biochemical techniques as well as develop 2D and 3D
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period of up to 12 months in the first instance, with the possibility of an extension, subject to funding. The project entails the development of a kinetic Monte Carlo (KMC) framework for the simulation
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. This role will support the research leadership of Professor James Durrant in sustainable photoelectrochemistry and will include support in the potential development of an institute for sustainable chemistry
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novel neuroprotective strategies. You will utilise in vivo rodent models of neurodegeneration in combination with sleep/circadian clock modulators to develop an in-depth understanding of consequences
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in