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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
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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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and research network and is committed to recruiting high-quality academics and professionals to contribute to its dynamic, quality-driven research environment. About AITTC The Agricultural Innovation
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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 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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. Leadership & Learning: Building the next generation of crisis leaders through our Pandemic Fellows Program and global network. Convening & Collaboration: Creating space for interdisciplinary exchange through
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critical models. Excellent written and verbal communication skills in English are required. Good co-operation and interaction skills are considered to be an advantage for the applicant. What do we offer? We
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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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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling