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of underground realms by examining how histories of power and forms of violence are embedded in Earth's stratigraphies; how geosocial formations give shape to plural human–Earth relationalities; and how geological
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at Utrecht University. The project is embedded in the Department of Interdisciplinary Social Science. Your job Together with your supervisory team; You will design and conduct novel empirical studies; You will
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software developers to integrate data‑driven models with mechanistic or physics‑based models and domain expertise; showing thought leadership on applying data & AI-solutions in the food & biobased domain
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be scientifically embedded in research groups at TU Delft focusing on biomaterials and additive manufacturing. This collaboration offers a unique environment where fundamental technology development is
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will have important implications for the composition of the crust, oceans, atmosphere, and climate, and thus is well-embedded in the broad research done within the major research themes at the VU Earth
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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Encounters between Frontline Workers and Citizens' and is embedded in Work package 2 (WP2), which investigates frontline workers' psyfofysiology and subjective experience. The present PhD project focuses
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. Supervision Team The project will be supervised by Dr. Jaël van Bentum, Prof. Elske Salemink, and Prof. Eline Regeer. The project is embedded in the Department of Clinical Psychology. The candidate will join
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join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty
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for guest researchers of the research facility of HFML-FELIX (maximum of 10% of your time). Your working environment The position is hosted by Radboud University and embedded in the PhD Graduate School