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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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to promote neurological recovery. IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and
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(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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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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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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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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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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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