120 computer-algorithm-"https:"-"Simons-Foundation"-"Universidade-do-Minho---ISISE" Fellowship positions
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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of a workspace, access to computer equipment, and a budget for mission funding. The contract is for 12 months, renewable once. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-OLIGOS
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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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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
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: Manchester Employment type: Fixed Term Division/Team: Department of Computer Science Hours Per Week: 1 FTE Closing date (DD/MM/YYYY): 02/02/2026 Contract Duration: 24 months School/Directorate: School
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of computational algorithms and tools for problems of relevance to Vision-CAIR research group and Visual Computing Center (VCC) with a particular focus on learning efficiency, computational creativity, continual
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) Application Deadline 1 Mar 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and