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Field
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computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics Opportunities for collaboration and research visits
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here . Durham University is committed to equality, diversity and inclusion Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we
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of photonic integrated circuits. Experience in waveguide, grating coupler, edge coupler, mode converter, or freeform optical component design. Experience with active alignment, automated optical testing
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complex thermal and thermophotonic systems. c. Perform band-structure, eigenmode, and topological property calculations for thermal and thermophotonic systems. 2. Finite-Element and Multiphysics
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requirements. Thus, the supply of such materials is accompanied by extreme risk. The TOMoRROW project (Targeted Optimisation for Intensified Metal Recovery from Wastes) explores the recovery of metals from
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., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members
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Interest & knowledge about oncology & immunology, molecular & cellular mechanisms Work with ML + generative AI + GPUs at scale Experience with clinical or biomedical data and workflows Enjoy multimodal
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). Resources: Access to a project-dedicated H200 GPU cluster, travel funding for top-tier conferences, and the broader compute resources of the Vector Institute/Digital Research Alliance of Canada. How to Apply
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The successful candidate will work with Asst. Prof. Shen Shuting on combinatorial inference under a project on "Post-learning inference for near-optimal discrete structures". The main
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experience in one or more of the following areas: hybrid systems and/or discrete event systems; systems and control; reachability analysis and/or set-based methods; formal methods; optimisation and