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-throughput computational screening. Experience in one or more of the following areas is highly desirable: machine/deep learning (graph neural networks, generative models, transfer or active learning
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predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications, and mortality. Gain experience analyzing administrative
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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multimodality gastrointestinal, oncological, musculoskeletal and neurological imaging, as well as medical physics, statistical methodology, health economics, modelling, and health behaviour. The academic
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Overcoming the Terascale Design Challenge: Next-Generation Efficient AI for Discoveries in Surface Science and Catalysis research project, an ambitious research programme establishing a next-generation
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their role in particle growth. This role involves new laboratory- and computational chemistry based research into atmospheric processes. The successful candidate will work with Professor Zongbo Shi and other
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will conduct cutting-edge research and develop robust AI models capable of analysing inspection data, identifying defects, and assisting maintenance decision-making. The project is conducted in close
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UiO/Anders Lien 13th October 2026 Languages English English English Postdoctoral Research Fellow position in remote sensing and modeling of the cryosphere Apply for this job See advertisement About
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in Computational Electromagnetics will be responsible for developing theoretical models and high-performance computer codes for modelling the interaction between electromagnetic waves and dielectric
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. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. ARS’s SCINet/Artificial Intelligence (AI) Center of Excellence Research Participation Program