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, pharmacology, genomics and multi-omics, as well as growing methods in advanced analytics of health data e.g. machine learning to improve human health with a focus on therapeutics. These posts will work alongside
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We are seeking a creative and motivated neuroscientist to investigate the mechanisms of flexible learning and decision-making. The postholder will join the Adaptive Decisions Lab (Principal
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, machine learning, governance and operations, we aim to address the complex challenges and opportunities of space exploration CfAI is a large research group in the Department of Physics at Durham University
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2032 Reference no.: 6158 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom
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opportunity to gain academic research experience and to learn from leading academics. The ideal candidate for this role will have a strong research background with experience of a variety of quantitative and
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of reactive force field molecular simulations, supervised machine learning techniques and understanding of mass spectrometry techniques. The post is available for 3 years from 1 September 2026. If you are still
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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undergraduate, postgraduate and distance learning. Family friendly policies, staff networks for BME, Disabled and LGBT staff, membership of Athena SWAN, the ECU Race Equality Charter and Stonewall as well a full
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electronic and optical characterisation, and nobody arrives with all of it. You will enjoy learning, and take satisfaction in taking a polymer from synthetic design through to working material. You will be
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reliability of these materials in optoelectronic devices The post-holder will have the opportunity to teach. About You Applicants should possess or be close to obtaining a PhD in physics, materials science