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but also a good team player and are willing to cooperate closely with other researchers and our industry partners. Furthermore, you meet the following requirements: You hold a PhD degree in Materials
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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on developing multi-scale mechanical models to predict how printed inks behave under mechanical and environmental stress. Your role: Build multi-scale models and extend the Eindhoven Glass Polymer Model for latex
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synchronized to each patient's evolving gait dynamics as they recover. You will: Retrain an IMU-based gait-detection algorithm using stroke-patient data Run patient panels with stroke survivors, with a PhD
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-infected B cells in MS. Almost everyone with MS carries EBV, and EBV-infected B cells help drive disease. ERAP2 shapes how these B cells present viral peptides to NK cells and CD8+ T cells. You will build
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PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest in engaging and collaborating with
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the research group can be found at: Electrochemical Engineering (tue.nl) Where to apply Website https://www.academictransfer.com/en/jobs/362816/postdoc-in-dynamic-modelling-of… Requirements Specific
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robust management of large traffic networks under all conditions. You have the most important role in this ambitious project as one of the young talents in our team. We have 2 PhD and one postdoc positions
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together researchers from TU/e, the University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine
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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related