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, weight, and power: the future is small but mighty. Working together with Leonardo UK towards immediate real-world applications in an operational environment, you’ll design and create intricate nanoscale
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11 Jul 2026 Job Information Organisation/Company University of Groningen Research Field Engineering » Control engineering Engineering » Systems engineering Mathematics » Applied mathematics
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4 Jul 2026 Job Information Organisation/Company CNRS Department Sciences et Ingénierie, Matériaux, Procédés Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantum Computing for Power Systems Security At the Institute of Climate and Energy Systems Engineering (ICE-1), we
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Engineering » Biomaterial engineering Biological sciences » Biological engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Nov 2026 - 23:59 (Europe/Berlin
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 10 hours ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
, or equivalent, in physics, applied physics, optics/photonics, nanoscience, materials science, electrical engineering, or a closely related field. Fluency in English is mandatory. A documented
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experience with data analysis. The ability to bridge fundamental knowledge with applied process engineering concepts. For this position your command of the English language is expected to be at C1 level
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demonstrate the ability to communicate research findings to the general public at the interface of environmental engineering and environmental health. Demonstrated effective oral and written communication
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performance (10–50 Hz) on hardware with constrained memory, power and compute. The project will investigate training, adapting and deploying compact Physical AI models efficiently. Work may cover vision