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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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modelling tools, depending on your profile, to unlock – and inform the design of – disruptive solar technologies. You will be expected to undertake some project management activities, supervise multi
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operating wind parks. Consequently, there is a pressing need for research-based knowledge, as well as methods and tools for more accurate and reliable predictions of noise and annoyance. Noise prediction
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degrees in Economics or a closely related field. Demonstrated ability to engage in academic writing or publication. Knowledge of advanced computational tools or experience with applied policy evaluation
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
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cybersecurity Please note, this is open to home students only. PhD Studentship: CyberQuarter. The Studentship is available for an October 2025 start. A PhD studentship that comprises tax-free stipend of £20,870
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Collaborative Work Project description: With the rise of AI, we are entering a groundbreaking era where data and information are transforming our societies, with AI serving as the key tool for refining this data
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a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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areas with a strong focus on collaboration. The clinical project will focus on developing tools to identify and potentially prevent chronic pain usage in hip fracture patients. The radiological project