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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient
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development goals will be discussed and fostered throughout the postdoctoral period. The researcher will participate in tape-outs together with the PI and PhD students in the Adam’s group and benefit from our
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of the department. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Job description The PhD fellow will contribute to the development of an observing system for land
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
medicine and AI-driven personalized treatment planning Human-AI collaboration in surgical safety and perioperative care AI for health equity — reducing algorithmic bias and expanding access to care
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nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests
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mathematical problems and developing new algorithms for mathematical reasoning. Join us at Caltech and contribute to pioneering research that pushes the boundaries of AI and mathematical reasoning. We look
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to support a two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying