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substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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. There will be close collaboration with policymakers to apply empirical safety research for AI regulation and governance. You should possess a PhD or DPhil (or near completion of) in Machine Learning. You
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within CFD modelling, with a particular focus on the projects MetNH3Energy and ACE Water. You will be involved in both independent and collaborative research activities in Europe in close interaction with
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will be carried out in close collaboration with Associate Professor Gerod Jäger. Beyond this, the postdoctoral scholar will be encouraged to interact with other members of the Discrete Mathematics group
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specifically, we are looking at the electrocatalytic oxidation of N2 to nitrate. This is a collaborative project where we are examining the selective oxidation of N2 over that of H2O and the role of the local
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academic research career within a collaborative and mentorship-oriented environment. The research environment is highly collaborative and publication-oriented, with opportunities for trainees to lead
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international collaborators, you will simulate fragmentation processes and model the influence of surface potential on secondary ion yields in the OrbiSIMS instrument. Your insights will help us decode how
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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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species, a storm-exposure hazard index, and bark-beetle susceptibility signals, designed in collaboration with regional authorities and forest owners associations. As part of this work, the project will