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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project investigates predator avoidance and the distributed brain circuits
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… Requirements Specific Requirements 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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creation that controls clogging patterns Developing predictive digital rock physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated
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to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD candidate “Designing for movement: modelling physical activity in urban environments using Agent-Based
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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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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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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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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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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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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