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Field
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knowledge or technology transfer, policy improvements, or benefits to industry and community. Contribute to competitive research grant applications and secure funding to support impactful research outcomes
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 21 days ago
of positive and negative events in Post-Traumatic Stress Disorder”, with the reference 2024.14660.PEX – MapPTSD, funded by funds of the Foundation for Science and Technology, I.P. (FCT I.P.), within
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therapeutic loading that would be ultrasonically triggered by a catheter in arteries to improve blood flow. Passive and active ultrasound imaging approaches will be implemented to monitor theragnostic agents
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led project brings together
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of wireless electric vehicle charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led
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complex biological data. Preferably experience with medical imaging analysis, particularly MRI data processing and interpretation. Keen interest in translational research that bridges AI with clinical
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special cases within the broader GDL paradigm. Research in GDL relies on a strong theoretical foundation, drawing on group theory, differential geometry, and representation theory. The performance gains
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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. Place of work is Department of informatics at Blindern, Oslo. Job description Do you want to develop new technology for interpretation of images in the field of geoscience? Improve deep learning methods