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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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support for declarations and implementing rules, to facilitate the initiation of new programmes; proven experience of leading, motivating and developing a team of experts in a project environment; the
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professional growth is actively supported through a broad range of development opportunities, training programmes and access to the EUR Learning & Development platform. You will be part of a dynamic
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contribute to the new multidisciplinary Cybersecurity and Cybercrime Bachelor program starting in Fall 2025, in which our institute is responsible for the computer science education on cybersecurity
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are encouraged to submit a research proposal that aligns with UCALL's research programme and encompasses multiple areas of law. Your job Over a period of four years, you will conduct a PhD research under the
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discovery, embedded in a dynamic and enthusiastic research environment? At Leiden University in the BSc part of the Biopharmaceutical Sciences curriculum we are developing a computational track. During the
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Division, Galileo and EGNOS Programme Department, Navigation Directorate. The Galileo and EGNOS Evolution Division is responsible for defining, consolidating and implementing innovative technology as
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focuses on instrumentation development for microgravity experiments and exploration, environmental control and life support system (ECLS) design, engineering and verification and in situ resource
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part of the RSM Brand Team, your teammates include a brand manager and team lead, a digital marketing and social media officer, and a student assistant. You help to safeguard and further develop the RSM
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Vacancies EngD position: Accurate laboratory indicator for snow performance of tread compounds Key takeaways During the early stages of developing winter and all-season tread compounds, it is