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activities aiming at developing soft skills and at strengthening networks and collaborations in academia and industry. Be part of a strong postdoc community. The Umeå Postdoc Society fosters networking and
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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of solving real African agriculture challenges leveraging up to date science and technology. Oriented towards Africa, CAES acts in connection with a wide network of universities and research centers
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
biological effects, including changes in primary production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose
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transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium
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-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
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Republic of Korea | about 2 months ago
-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan