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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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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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of the ERIM Business Processes, Logistics, and Information Systems (LIS), Supply Chain Management (SCM) section doctoral program is to be at the forefront of developments in its domain. We are committed
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you love to apply Data Science to Military
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proxy data reflecting surface ocean changes, and simulations of sea level changes using comprehensive ice sheet models. The sea level in the Eemian was much higher than today, 3 to 6 m or even higher
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, programming, and computational modeling. Familiarity with experimental methods and tools such as EEG, fMRI, behavioral testing, or questionnaire design. Experience working with aging or elderly populations is
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critical role. The research will combine: Numerical modelling: develop and validate models to describe transport and separation mechanisms Experimental work: Design and operate and experimental setup using
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on accurate constitutive models that describe the behavior of the molten material during forming. With the increasing demand for more complex components, a step change in model accuracy and associated material
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» Mechanical engineering Mathematics » Applied mathematics Physics » Computational physics Physics » Other Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 6 Dec 2025 - 22
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Combine theory, modeling, and experiments to uncover how