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Field
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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Research Fellow - OSMOSIS research programme Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton Street Building Contract
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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stabilizers and targeting motifs for delivery and persistence of activity in the brain-tumor microenvironment. · Formulate and optimize liposomes and polymeric/hybrid nanoparticles for delivery across
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of mechanics, acoustics, design optimization, and advanced manufacturing. The key responsibilities of this position include: Perform numerical simulation to solve structure-acoustic problems Perform design
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- 1st September 2025 Languages English Norsk Bokmål English English Do you want to research work scheduling using artificial intelligence? PhD Fellowship in AI-Based Shift Scheduling: Optimization
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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application like drug delivery. Key Responsibilities: The Research Fellow will work on a cross-disciplinary project at the intersection of mechanics, acoustics, design optimization, and advanced manufacturing
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is