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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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of maintaining software/hardware as well as processing regular user requests. The goal of the role is to ensure the EEE GPU Cluster is better maintained, monitored, and communicated. Key Responsibilities: User
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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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of the students involved in these experiments Where to apply Website https://talent.irta.cat/en/jobs/7268015-phd-candidate-for-the-animal-welfare-pr… Requirements Research FieldMedical sciences » Veterinary
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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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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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of personal data as part of the application and selection process, please refer to the privacy policy on our website at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de
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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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-impact weather A dedicated computer scientist/software engineer works alongside you to set up ICON-CLM on the HPC systems, support simulations and manage large data volumes—so you can focus on the science