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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
School of Health Professions Education (SHE). Together with colleagues from FHML, MUMC+, and the MUMC+ Quality, Innovation and Research expertise unit, you will work in an interdisciplinary network
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will coordinate your work within an (inter)national network of collaborators, while working in an ambitious, motivated, multi-disciplinary team of veterinarians, clinicians, material scientists
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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coordination across many stakeholders. You will work in a strong multi-actor consortium with University of Twente (UT), Tilburg University, Saxion, regional networks (e.g., Pioneering, Midpoint Brabant
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network. You will be part of the section Operations and Environment (O&E) of TU Delft's faculty of Aerospace Engineering. The O&E section investigates operations and environmental impact of today’s aircraft
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project, a Horizon Europe project that will demonstrate how urban transport systems can be transformed into net positive contributors not only to cleaner, better-connected cities, but also for possible
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science, environmental modelling, geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers; Knowledge on handling
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can be yourself and we pay attention to each other and to the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR , FAME or QuEUR. Time and space for your
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department at TU Delft (Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine
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underexplored. Rather than functioning as neutral tools, algorithmic models translate complex realities into scores, rankings, classifications, and predictions. In doing so, they shape how problems are defined