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Eligibility criteria The recruited person must have expertise in cosmology, numerical development and machine learning. They must be proficient in the Python programming language, with experience in JAX being a
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Research Assistant - Computer Vision and Machine Learning (Visual-AI) ( Job Number: 26000733) Department of Computer Science Grade 6: - £31,236 - £37,694 per annum Fixed Term - Full Time Contract
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The Leiden Institute of Advanced Computer Science (LIACS) at Leiden University is seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a
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, subjective user feedback, and environmental data. The research will involve machine learning, human-centred experimentation, real-time comfort prediction, and the integration of intelligent climate control
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others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent frameworks). Hands-on experience with data representation and embeddings, ideally applied
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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and
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Details Title Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
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package contains: We are seeking a highly motivated postdoctoral researcher to work on reinforcement learning methods for public health decision-making in the context of epidemic emergencies, with potential
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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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• PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a related discipline. • Strong experimental research skills with a good publication record. • Experience in advanced materials synthesis, characterisation, and device fabrication. • Familiarity with...