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Job Description Job Alerts Link Apply now Job Title: Research Fellow in Quantum Algorithms Posting Start Date: 06/01/2026 Job Description: Job Description The position involves research in
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of Engineering The new International Centre for Neuromorphic Systems, at The University of Manchester is hiring a Research Associate/Fellow for a two-year full-time role in Neuromorphic Systems (Algorithms). Ideal
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The new International Centre for Neuromorphic Systems, at The University of Manchester is hiring a Research Associate/Fellow for a two-year full-time role in Neuromorphic Systems (Algorithms). Ideal
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Algorithms of Pursuit søk stillingen se annonse This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three
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? PhD position in Algorithms and Extremal Combinatorics There is a vacancy for a PhD Research Fellow in Algorithms and Extremal Combinatorics at the Department of Informatics . The position is for a fixed
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algorithms for synthesizing metamaterial-based antennas and surfaces. Conduct full-cycle research from simulation and design to fabrication and testing. Publish findings in top-tier journals and mentor
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(two posts) 3) Research Assistant [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project – “STA AI simulation algorithm research project
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 1 day ago
the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data. Major regulatory science gaps include lack of methods for AI algorithm training with limited
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Olivier Gossner and funded by an advanced ERC grant. The research themes include information asymmetries and belief hierarchies, encompassing their modeling, applications, and algorithmic aspects. Research
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees