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physical agent-based models, as well as the integrations of omic information to validate model predictions and developed in the context of the HPC environments at the BSC and at other HPC centres in Europe
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the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate
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-design with accelerators (FPGAs, GPUs, near-memory systems) to achieve real-time, energy-efficient AI for high-tech industry applications. Work with leading companies like ASMPT and shape the future of AI
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 24 days ago
by major infrastructure, including Canada’s largest aquatic research facility and advanced platforms accelerating discoveries in health and the physical sciences. Researchers contribute to and benefit
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statistical and computing techniques to accelerate scientific discovery. In particular, we will develop a general deep learning framework that will advance and speed up AI model development in physics analysis
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systems in the transition to net zero As part of this, we have recently launched the London Sustainable Materials Lab (LSML)—a cutting-edge facility designed to accelerate innovation, testing, and knowledge
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Program that provides dual career assistance and relocation services. Nomination and Application Process The full Position Profile can be found at https://bit.ly/LSCCE . Inquiries, nominations and
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and Muon Facility, the Central Laser Facility, Scientific Computing Division and National Quantum computing Centre), the Daresbury Laboratory (Accelerator Science and Technology Centre and cryogenic
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6 Mar 2026 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile Established Researcher (R3) Positions PhD Positions Application
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, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms