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independently and enthusiastic about working in a dynamic, interdisciplinary, and international context. Motivated to develop your teaching skills and coach students. Fluent in spoken and written English (C1
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bridges: half-joint (dapped-end) connections. Job description Half-joint (dapped-end) connections are a common design feature in concrete bridges worldwide. However, they are inherently vulnerable
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screening. You join an interdisciplinary research environment within Radboudumc. Your work directly contributes to developing personalised treatment strategies for OA. The project is already well underway
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
interprofessional care teams in making optimal use of available healthcare information for care optimisation. Your colleagues: You will be based at the Department of Educational Development and Research and the
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January 2028). A gross monthly salary between €3.057 and €3.985 (based on full-time employment of 38 hours per week). 8% holiday allowance and an 8.3% year-end bonus. 29 vacation days (based on full-time
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fieldwork and interviews with museum professionals, policymakers, and community stakeholders Collect and analyze archival, policy, and institutional data Contribute to the development of original research
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process historical trauma. Apply now for this PhD position! Sites of traumatic experiences become traumascapes through the collective memory and identity formation processes that develop around them over
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. To that end, we educate innovative students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in
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Infections and Pathology (VIP), you will join a multidisciplinary team with expertise in viral pathogens, animal model development, immunology, and pathology. You will collaborate closely with experienced
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are a revolutionary paradigm for autonomous driving, enabling systems to jointly perceive, reason, and act in complex environments. However, evaluating such end-to-end models remains challenging, as most