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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
) is the Centre for Nanoscience at Lund University. NanoLund is today Sweden’s largest research environment for nanoscience, engaging more than 400 PhD students and scientists in the Faculties
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represent COP pathfinding integration in customer interactions, technical reviews, and selected external collaborations relevant to your field of competence. Where to apply Website https://www.imec-int.com/en
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for integrated photonics perspectives. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9001-MATJEA-001/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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matter properties Physics » Applied physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 12 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract
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Your Job: The work will examine global supply chains for wind turbines, particularly offshore, or for microchip and semiconductor technologies, to identify bottlenecks, dependencies, and
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: RNPUs, Nature 577, 341-345, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Where to apply Website https
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contact your references and request letters of support. Review of applications will begin on January 15th, 2026. This search will continue until the position is filled. Required Qualifications PhD in
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goal of enabling in-cell production of semiconductor components. This specific postdoctoral project aims to develop methods for designing 2D protein lattices that serve as scaffolds for attaching other
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Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial
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at the edge! Information Industrial edge deployments—in semiconductor manufacturing, printing systems, automotive radar, smart mobility cameras, and HealthTech—require on-device AI to ensure low latency