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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End
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24 Feb 2026 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Mar
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the PhD requirements within the project framework. This helps us understand your thought process, technical perspective, and approach to problem-solving. • Contact details of two referees • Bachelor’s
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critical support for Pipeline and Pathway Programs that assist scholars in becoming physicians, including supporting the development and implementation of new processes and materials for program components
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into an action–perception loop that drives the optical tweezers Use and further develop simulation tools to design and benchmark control strategies before deploying them on the microscope Integrate your software
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PhD thesis Resource-Aware AI for Next-Generation Networks. The PhD project will investigate resource-aware Artificial Intelligence (AI) mechanisms for next-generation communication systems. The research
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
fellowship starting in 2026. The PhD candidate will be embedded in the research activities of SFI FAST centre related to forming processes and will work closely with NTNU, SINTEF, and leading international
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://www.academictransfer.com/en/jobs/359398/phd-position-in-high-performanc… Requirements Additional Information Website for additional job details https://www.academictransfer.com/359398/ Work Location(s) Number of offers
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… Where to apply Website https://www.academictransfer.com/en/jobs/359399/phd-position-in-high-performanc… Requirements Additional Information Website for additional job details https
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets