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, Oxford, London, and Cardiff (regular cross-site meetings and joint outputs). Requirements PhD in Psychology, Mathematics, Computer Science, Neuroscience, Physics, or a related field. Strong skills in
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science seeks a postdoctoral researcher in Computer Science with focus on AI
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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/2312.14804v2 Qualifications Basic qualifications (required at time of application) PhD or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program Additional
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
offers, free membership in UKBfit • Employer benefits: preferential offers for employees (corporate benefits) Requirements: • A PhD in Bioinformatics, Computational Biology, Systems Biology, or a related
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opportunities for a broader range of science-based applications What will I be doing? As a postdoctoral fellow in the FES Postdoctoral Research Program, you will conduct your proposed research related to the FES
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good. The Department of Electrical and Computer Engineering at Florida International University is seeking
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Are you ready to discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning