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structural, social and psychological integration within organizations. While identity-based policies can provide identity safety or foster in-group cohesion, they may also risk reinforcing organizational
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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. Decentralized and resilient PV and battery systems play an important role in three areas: Energy security under uncertainty – ensuring a stable supply despite climate impacts, extreme weather, or grid instability
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Within the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Action (MSCA), University of Copenhagen is offering one PhD position for a Doctoral
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uncertainties, with a strong focus on safety-critical bilateral teleoperation (e.g., tele-surgery). The doctoral research will focus on the development of fault-tolerant and adaptive control architectures
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) and assess emerging governance opportunities and hurdles. England is facing growing challenges in long-term water security, with the Environment Agency predicting huge shortfalls in water supply in
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rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career researchers with
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that combines rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career
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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap