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are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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Engineering, Production Engineering, or a closely related discipline. Strong expertise in materials, computational simulation, AI/ML, or manufacturing process engineering. Practical experience with plastics and
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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do, both in your work and in your development. Read more about our terms of employment . Selection process At Utrecht University, we strive to be a place where everyone feels at home. We value
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Job description The Challenge As process industries transition to circular models, companies within Hubs for Circularity (H4C) need robust tools to navigate the financial complexities of industrial
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, with activities in almost all areas of geology, geochemistry, geophysics, biogeology and hydrogeology. Our key research themes are Earth & Planetary Processes, Sustainable Use of the Subsurface
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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over
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adaptation, systemic hemodynamic and biochemical regulation. To understand and predict these processes, virtual human twins need to move beyond acute simulations of cardiac function and incorporate long-term
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22 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile