1,881 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" Fellowship positions
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Deadline 13 Mar 2026 - 23:59 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, 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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the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description The Research Group in
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testing is a prerequisite. Three issues will get particular attention. First, addressing the challenge of promoting high CO2 hydrogenation activity and high hydrocarbons yield while restricting the olefins
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-erklæringen var sist oppdatert 28.12.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical informatics and
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they remain underrepresented, specifically within the fields of Mathematics and Computer Science. Where to apply Website https://iventajobdata.eu/bestmedia/img/2240919/1888086/cl/a6384078ad4f0d2616331
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the desire to make a meaningful impact? Mathematics & Computer Science - Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40 | Collective
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training methods for Large Language Models (LLMs) under FP8 and FP4 precision, covering pre-training, SFT and RL while maintaining model performance; (c) implement high-performance CUDA kernels