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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and
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Infrastructure? No Offer Description Job description Do you have a background within mechatronics, biomedical, mechanical, electrical, or computer engineering and research interests in medical robotics and human
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Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate starting August 15, 2025. This position is for a post-PhD trainee preparing for a career path as
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, concentration and functional inequalities • Mathematical aspects of machine learning and deep neural networks • Free Probability aspects of Quantum Information Theory. While excellent candidates with other
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Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University of Copenhagen. The sub-package focuses
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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Skills General office suite and willingness to learn lab-specific programs. Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or
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health and disease under the direct supervision of Dr. Jonathan Kirk. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications Certificates/Credentials/Licenses NA Computer Skills