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mentioning reference code DN5 HR Partner, Vitaly Pryadka Tel.: +40 765 734 800 Web: http://www.phd-jobs.net Where to apply E-mail info@phd-jobs.net Requirements Research FieldMedical sciences
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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Institut de Recherche en Génie Civil et Mécanique (GeM) | Saint Nazaire, Pays de la Loire | France | 28 days ago
plateformes expérimentales de pointe. Les candidatures doivent être déposées sur la plateforme Amethis (https://amethis.doctorat.org ). This PhD thesis lies at the interface between materials mechanics
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experience. Closing date: 12:00 noon (local Irish time) on 23 April 2026. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time
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anticipate, prepare for, or respond to disruptions that originate deep in their upstream network. This PhD project aims to develop a formal framework for supply chain visibility and resilience using tools from
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Minimum Education and Experience: The candidate must hold an MS degree, preferably a PhD in civil engineering or a closely related field. City: Piscataway State: NJ Location: Busch (RU-New Brunswick) Create
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; they produce some of its most vivid source material, for a variety of audiences; and they work alongside militaries, local societies and international organizations in a unique way. In short, they provide
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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01.04.2026, Academic staff The Chair of Sustainable Mobile Powertrains of the Technical University of Munich, located at Schragenhofstr. 31, 80992 Munich invites applications for a PhD studentship
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is located in Pittsburgh, PA, a city with a vibrant research and tech community. The ideal candidate has a PhD in Computer Science, Electrical Engineering , or a related field, with a strong