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Field
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in hand by September 1, 2025. Deep knowledge of functional materials and
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deep learning. * Assigned department Existing departments [Work location] * Address 236-0001 Kanagawa 3173-25 Showa-machi, Kanazawa-ku, Yokohama Yokohama Institute for Earth Sciences (YES), JAMSTEC
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in hand by September 1, 2025. Deep knowledge of functional materials and
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Posting Details Position Information Fiscal Year 2025-2026 Position Title Postdoctoral Associate, Center for Climate Change and Health Equity Classification Title Postdoctoral Associate Department
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minimization, robust optimization, deep learning for systems, probabilistic data management, or decision-making in uncertain environments are a prerequisite. Successful candidates will also demonstrate a
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Python, including use of scientific libraries (e.g., NumPy, SciPy, scikit-image, PyTorch/TensorFlow). Experience with deep learning or machine learning approaches to image denoising and reconstruction
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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why