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. Applicants must have a PhD in Mathematics, with a strong background in one of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be
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(AI) or closely related topics in computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a
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: Use quantum field theory to find how physical principles constrain the scattering of relativistic particles and better understand the fundamental forces of nature, specifically gravity and the strong
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integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to
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Starting Date 1 Sep 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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. Department/Program & College Description: The Department of Veterinary Microbiology and Preventive Medicine (VMPM) in Iowa State University’s College of Veterinary Medicine supports a mission of teaching
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at the Warsaw University of Technology”, financed through the FENG MAB programme (contract no. FENG.02.01-IP.05-0058/24). Candidates are required: 1) a PhD in Math, Computer Science, Physics, Artificial
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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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: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Electrical and Computer Engineering / Engineering Physics , Quantum Engineering , Machine Learning Appl Deadline: 2026/10/01 04
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
10 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2