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7 Mar 2026 Job Information Organisation/Company AMOLF Research Field Physics » Computational physics Physics » Condensed matter properties Researcher Profile Recognised Researcher (R2) Application
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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
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for a Postdoctoral Research Fellow in Physics. The position is funded by an ARC Discovery Project on mitigating the effects of ionising radiation in superconducting quantum computers, in collaboration
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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the EU Research Framework Programme? Other EU programme Reference Number INV31_2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Universitat de Girona
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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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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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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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Starting Date 5 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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research results in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and