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multi-disciplinary team is essential. The candidate for this position will specifically contribute to the project by successfully developing methods to integrate large and complex preference datasets with
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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catalysts relevant to sustainable energy technologies. The research makes extensive use of the LUMI supercomputer, enabling large-scale simulations of complex electrochemical reactions under realistic
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-ray, neutron, and charged-particle flux; material selection for structural and functional reactor components; exploration of advanced and conventional cooling systems; energy extraction and conversion
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of contributing to the development and execution of complex laboratory experiments and the quantitative analysis of experimental data. Experience with high-intensity lasers, ultrafast optics, or high-energy-density
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researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do
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experience in ocean observations and a demonstrable background in studying air–sea interaction. You bring strong data and analysis skills, can translate complex measurements into scientific insight, and have
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contributing to the development of methodologies in organic and organometallic chemistry, which can expand the field of plastic recycling. The position will focus on different means of chemically activating
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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Postdoctoral Research Associate Position to work on the biophysics of sequence-structure-function relationships of intrinsically disordered protein regions (IDRs). IDRs use different types of sequence-encoded