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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter
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experts (biomechanics, anatomy, medical imaging, clinical sciences). Analyzing and integrating complex experimental datasets to support the development of accurate, demographically inclusive musculoskeletal
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Thrive Global and two international partners in the United States and Sweden have been funded to deliver a new research programme, titled Collective Action for Race Equity in Health and Social Care (CARE
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your insights applied in a significant transition program? If this sounds intriguing, you’re in luck – we’re hiring a PhD candidate for an exciting position at Utrecht University! Your job Dutch
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
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professional growth in the rapidly evolving field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related
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possible futures in research and education to design for a complex future.Click here to go to the website of the Faculty of Industrial Design Engineering. Conditions of employment Doctoral candidates will
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Institute of UvA is to perform curiosity-driven and use-inspired fundamental research and to train talent by high-quality academic education in diverse areas of informatics. Our research involves complex
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
(CGR) The Copenhagen Center for Glycocalyx Research (CGR) aims to uncover the vital role of the glycocalyx, a cell surface layer of complex glycans, that integrates signals from cells and their
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of physics-informed machine learning proxy models for large-scale CO₂ storage. The project addresses the significant computational burden of numerical simulation and optimisation of large-scale CO₂ storage