720 postdoctoral-image-processing-in-computer-science-"U" Postdoctoral positions in United Kingdom
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administrative tasks in research, teaching and administration. This is part of your personality: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in
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STARS and HSMA STARS is an Open Science project that aims to increase the quantity and quality of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will
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50 Faculty of Life Sciences Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2029 Reference no.: 4160 Explore and teach
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About the role Applications are invited for a Postdoctoral Research Associate in Inorganic Chemistry to work under the supervision of Professor Simon Aldridge for a period of up to 12 months
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. The Opportunity: We specialize in integrating multi-disciplinary approaches, combining the latest in genetics, cell biology, and biochemistry to unravel the mechanistic underpinnings of neuronal processes
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metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use Develop
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
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About the role Applications are invited for a Postdoctoral Research Associate in Inorganic Materials Chemistry to work under the supervision of Professor Dermot O’Hare for a period of up to 12
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About the role Applications are invited for a Postdoctoral Research Associate in Membrane Supramolecular Chemistry to work under the supervision of Professor Matthew Langton in the Department
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence