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Field
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Engineering, Mathematics, and Computer Science (EEMCS) advances semantic modelling, cybersecurity, and service design to enable meaningful computing within trusted digital environments. Their research focuses
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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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computational approaches to study social dynamics that shape behaviour. Using survey and registry data, the project will map social networks and develop agent-based models linking household preferences
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
of simulation, optimization, and policy modelling. You will also connect with TU Delft's strong internal network on climate action, particularly through the Climate Action Programme and its Climate Governance
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Examination (HINE). However, current predictive models lack integration of these modalities and precision in individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded
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-GLOBWB and the integrated assessment model IMAGE3. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
, optimization, and policy modelling. You will also connect with TU Delft's strong internal network on climate action, particularly through the Climate Action Programme and its Climate Governance theme. TU Delft
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The Department of Medical Informatics at Erasmus MC invites applications for a PhD position at the forefront of health AI and data science. Join our innovative, multidisciplinary team engaged in
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and