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PhD position on Arctic sea ice-Greenland ice sheet interactions Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 5 January 2026 Apply
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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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PhD: Building the infrastructure for (mass) mobilisation Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application deadline: 15
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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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. 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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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