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predictive digital rock physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated against experimental observations Bridging scales
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. Non-Dutch MSc diploma’s may be subjected to specific approval by the Board for Conferral of Doctoral Degrees before the candidate can be accepted in the PhD programme. Furthermore, you should have
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) Country Netherlands Application Deadline 15 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Extracellular vesicles (EVs) are natural, biocompatible carriers with innate
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departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by
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policy analysis. Your qualities You bring the following qualifications: a Master’s degree in physics, environmental sciences, mathematics, systems science, computational science, or a related field; strong
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Assessment Sciences (IRAS) as a PhD candidate in Exposomics, Machine Learning and AI! Your job In this PhD project, you will design and apply innovative computational approaches, such as graphical models
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may be subjected to specific approval by the Board for Conferral of Doctoral Degrees, before the candidate can be accepted to the PhD programme. The project will require: Experience or strong interest
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be subjected to specific approval by the Board for Conferral of Doctoral Degrees before the candidate can be accepted in the PhD programme. Furthermore, you should have: Experience in processing
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PhD Candidate in Agent-Based Modelling and Urban Health: Designing for Movement Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 36