1,075 machine-learning-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" Fellowship positions
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, such as Seurat and Scanpy. Experience with machine learning models, such as transformer and diffusion models. Strong written and oral communication skills. Modes of Work Positions that are eligible
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, operations research or related field. Additional Qualifications Candidates who have a strong mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and
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. Demonstrated experience and competence using R for data analysis. Evidence of publications in reputed refereed journals and presenting at conferences. Access to a car you can use for work purposes and a valid
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PhD programmes. Like the wider University, the Department is research-intensive while remaining strongly student-focused, delivering a holistic learning experience that develops critical thinking and
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of, computational models of decision-making (e.g. reinforcement learning, drift diffusion modeling, economic choice models) Experience of writing and publishing peer reviewed scientific papers on relevant topics (e.g
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Special
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the opportunity to present updates to the wider project team. The role will also engage with a range of external stakeholders, including academic researchers, Funders, learned societies, and industry clients
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recently completed the strategic expansion of our academic staff, and we continue to invest in teaching and learning excellence . As part of our collegiate community , you will demonstrate academic
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. iu.edu/faculty-labs/yang-lei IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and