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implementation. We collaborate closely with other UMCs across the Netherlands and leading international institutions, including the Karolinska Institute, providing a vibrant network of expertise and opportunities
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applications in different project contexts. This may include data analysis, modelling, literature reviews, and interaction with relevant stakeholders. The results are expected to contribute increased knowledge
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inference and time-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also
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adaptation and human-centred design in vulnerable neighbourhoods. By combining qualitative and GIS-based mapping, community-oriented visual design engagement methods, and stakeholder analysis at multiple
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educational institutions Other career-promoting work (strategic network building, etc.) Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant
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undergoing digital transformation. This will include interviews with executives, IT leaders, digital transformation leads, project managers, and site teams; document and data analysis; and, where possible
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. Nonlinear finite element modelling and characterisation Conduct numerical modelling via nonlinear finite element analysis and physics-informed neural networks Materials characterisation for soft, textile and
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interpretable alternative in modelling to the black-box approach of neural networks. Job description The selected candidate will work on the furhter development of spectral submanifold (SSM) methods, aiming
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closely with a network of support centres across Belgium. You will be responsible for data collection, the analysis of longitudinal and qualitative data, and the scientific reporting of research findings
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job