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of Science program in Artificial Intelligence in Biomedical and Health Sciences (AIBHS). This new program, the first of its kind in the southeast and one of the first nationwide, will train the
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project coordination and industrial engagement. The Intelligent Efficiency Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD
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diseases, mucosal immunity, or autoimmune/allergic disorders; and experience linking computational findings with experimental validation in the laboratory. For Artificial Intelligence for Drug Discovery
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 6 days ago
) Country Austria Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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, eligibility and submission rules available via this link: https://migrationtime.eu/phd-positions Where to apply Website https://research.ku.edu.tr/mirekoc/events-and-news/news/?detail=true&id=5c73a14
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(or equivalent) in Telecommunications, Computer Science, Mathematics, or similar fields. Training or experience in Data Science and Artificial Intelligence. Training or experience in Deep Learning. Proficiency in
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undergraduate and masters-level courses. Qualifications Minimum Qualifications: All candidates must have 1) a PhD in Economics in hand by August 2026 and 2) a demonstrated interest in teaching in the field
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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
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scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on