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-based interventions that support healthier, more inclusive cities for younger generations. Your qualities You hold a PhD in Human Geography, Urban Studies, Transport Planning, Sociology, Anthropology
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(PHM) for aerospace operations and maintenance, with strong expertise in sensor fusion, stochastic modeling, and machine learning. Your role: Design, build, and commission a laboratory test bench for
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-statisticians challenge and workshop; Studying model-averaging, effect size estimation, and tests for interactions; Designing methods to overcome numerical challenges. What do you have to offer You have a PhD in
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applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC) incorporating mineralized SCMs. The research will focus on: Modeling long-term
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Circular Chemistry at Utrecht University as well as the Royal Netherlands Institute for Sea Research. Your qualities We are looking for a candidate who has successfully completed a PhD programme in
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platform, contribute to accelerating the realisation of PEDs? How can standards (e.g. in terms of data models and APIs) support this process, e.g. by streamlining data retrieval, integration and usage? How
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applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques
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disruptions in support systems affect access to and quality of care. The findings will inform new data, models, and policy recommendations, contributing to both Dutch and international debates on health system
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motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully completed a PhD
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analytics, modelling, and AI to turn scientific research into real-world impact. You’ll join an open, supportive environment that fosters learning and professional growth. Job requirements Your profile: PhD