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of Virginia (UVA) School of Medicine is seeking to fill Postdoctoral Researcher positions in computational biology and machine learning. The lab develops modern machine learning, generative modeling, and
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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, and environmental data. The research will involve machine learning, human-centred experimentation, real-time comfort prediction, and the integration of intelligent climate control systems into vehicle
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, with a particular focus on the iron and steel sector. By using TROPOMI observations with advanced machine learning techniques, the project will provide independent information on emission patterns and
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required. It is highly meritorious to have publications in top venues in machine learning, and security and privacy (NeurIPS, ICML, S&P, PETs, ESORICS or similar conferences). A successful candidate is
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to recruit a talented researcher for a 2-year, full-time postdoc in machine learning from 1 October or soon thereafter. Your work tasks We are looking to recruit an excellent postdoctoral fellow to apply
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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Science, or a closely related field. Strong theoretical background in machine learning with proven experience in applying reinforcement learning to practical, applied problems. A clear interest in human health
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record of success. The team has won 15 paper awards at major conferences, including CHI and ASSETS, and has secured around £3M in research funding from a range of sources. About the role The Department
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and industrial security architects across Europe. The successful candidate will focus on one of following aspects: Privacy Preservation: Investigating the integration of Federated Learning, Differential