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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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About the opportunity Established as the first computer science department in Australia, the School of Computer Science (SCS) is research intensive and has a strong tradition of research-led teaching. The
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application instructions), please visit: https://www.mpg.de/en/max-planck-postdoc-program . To submit your application online, please visit: https://postdocprogram.mpg.de The application deadline is April 13
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The Azrieli International Postdoctoral Fellowship supports the best and brightest minds in their postdoctoral research, connecting them with world-class academics and leading researchers. The Fellowship provides generous funding for eligible international applicants to conduct research in any...
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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The Role This is an exciting opportunity to join the Innovate UK funded project 'CHERI-Zephyr++: A memory-safe, lightweight real-time operating system for critical RISC-V embedded systems', led by Prof Oswald. The successful candidate will have the opportunity to closely work with the team of Dr...
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Job Posting Title: Postdoctoral Fellow, PhARM Program, College of Pharmacy ---- Hiring Department: College of Pharmacy ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum