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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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deployment requirements. This PhD project aims to develop next-generation foundation models for privacy-preserving human-centric video analytics. Research directions will include: Human action and activity
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the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS). MS3 specializes in research and education at the cutting edge of microwave systems, focusing on both fundamental and applied
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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to uncover the biological foundations of sex differences in brain health and disease. These studentships are funded through GW4 BioMed3 MRC Doctoral Landscape Programme and consist of UK tuition fees, as
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 21 hours ago
Position Description The Heidelberg Institute for Theoretical Studies ( HITS) was established in 2010 by the physicist and SAP co-founder Klaus Tschira (1940-2015) and the Klaus Tschira Foundation
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data. They will anticipate and adapt. They will optimize continuously. At Aalborg University, we are starting to build the scientific foundations for those systems. We are looking for a PhD researcher
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited