542 computational-physics-superconductor Postdoctoral research jobs in United Kingdom
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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The Role A Postdoctoral Research Associate position is available to pursue experimental research in the field of atomic and laser physics within the Durham Quantum Light and Matter group
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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a
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Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological cancer? We have an exciting opportunity for a Senior
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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programmes: Chemistry; Physics; Electrical, Electronic & Computer Engineering; Chemical Engineering; Mechanical Engineering and Brewing & Distilling. In the 2019 National Student Survey Heriot-Watt University
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Fixed-term: The funds for this post are available for 36 months in the first instance. We are looking for a Post-Doctoral Research Associate (PDRA), with a PhD in Physics, Materials Science or
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and Physical Sciences at HWU. He is also Honorary fellow at the (UoE ) School of Informatics, and Academic Guest at the (EPFL ) Signal Processing Laboratories. The position is open in the context of a
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, Computational Astrophysics, Early Universe or Gravitational Physics will be an advantage. The post-holder will have the opportunity to teach. Only applications received before midday Friday 27 November 2025 can
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets