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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
15th March 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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networks are ubiquitous in both natural and engineered materials. They are manufactured for many reasons: from the nonwoven fabrics used for insulation, clothing and filtration to the rubberlike polymer
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Job Description The Centre for Software Technology (CST), part of Maersk McKinney Moller Institute in the Faculty of Engineering at the University of Southern Denmark (SDU), invites applications
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27 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electronic Systems Research Field Computer science Researcher Profile
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, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights
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supervisory team providing structured PhD mentoring. Eligibility criteria The candidate has: A European Master’s degree (or obtained before starting the PhD) in Engineering Technology, Materials Engineering
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as
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component’s melting point) concomitantly worsened by steady-state heat loads (up to ~15 MW/m2). Fourthly, transient heat loads, going up to a few GW/m2 pose a major structural damage challenge under plasma
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will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology
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23.01.2026, Academic staff The Chair of Structural Analysis is seeking a highly motivated research associate (m/f/d) for our research project focused on developing methodologies for high fidelity