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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are looking for a motivated postdoc to join our
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Chemistry » Physical chemistry Astronomy » Astrophysics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 30 Nov 2025 - 18:00 (Europe/Paris) Type
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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Professional qualifications (required) Relevant PhD degree (e.g. computer science, machine learning, statistics) Experience in developing deep learning models for 3D point cloud data Strong programming skills
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). Applicants with a background in either QIS or QFT are welcome. Our group has access to cloud-based quantum computing resources through IBM and AWS, and an IBM quantum computer is expected to be acquired soon
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languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security
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functions, using digital twins and advanced validation techniques. You will work closely with leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic
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(e.g., flow-based models, diffusion models), statistical physics, computational biology, or ML theory. Experience with cloud computing, computational structural biology and/or phylogenetics, and Nextflow
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functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience collaborating