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Fellowship Description Applications are invited for Fields Postdoctoral Fellowship positions with the Thematic Program on Quantum Algorithms for Differential Equations (the "Program") taking place
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validation of machine learning and artificial intelligence algorithms for biomarker discovery and treatment selection in gynecologic cancer. The incumbent performs a variety of moderately complex technical
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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Oxford Human-Algorithm Interaction (HAI) Lab at Saïd Business School, University of Oxford. The project brings together Dr. Nancy Yang and Dr. Hossein Zolfagharinia at TMU and Dr. Kejia Hu at Oxford
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fundamental physics and quantum computation, with an emphasis on building quantitative, benchmarked pipelines that connect field-theoretic questions to modern quantum algorithms and hardware. The position will
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Parkinson’s disease. As a Clinical Research Assistant, you will support participant recruitment and testing, which may involve non-invasive brain stimulation, behavioral tasks, wearable sensor use, validated
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information into Excel according to a predefined coding scheme, either manually or algorithmically with manual review. Training on the coding protocol will be provided, and the assistant will be expected
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of the following areas: - Quantum computing-specific: o Error-correcting codes o Lattice surgery o Surface codes o Resource estimation o Homology o Circuit design/algorithms - Mentorship - Open-source software
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cryogenic germanium and silicon detectors equipped with sensors for the thermal energy of particle interaction. The next generation of the experiment, featuring upgraded detector technology, is currently
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with quantum gates, algorithms, and measurement-based photonic quantum computing. • Familiarity with quantum optics simulation frameworks (QuTiP, Strawberry Fields, etc.). • Track record of mentoring