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-of-the-art econometric methods such as staggered difference-in-differences, regression discontinuity designs, and causal forest–based identification strategies. We ask applicants to briefly sketch in
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in September 2026. Job requirements You hold a PhD with a focus on experimental fluid mechanics, for example in aerospace engineering, mechanical engineering, or applied physics. You have proven
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at global scale. SUNRISE will challenge the state of the art by (i) producing new comprehensive data collections that can serve as references for future studies, (ii) enhancing the understanding of physical
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You will focus on: Studying the slug stability of organic solvent slugs (e.g. acetone, acetonitrile, chloroform) in different push solvents for detection of apolar metabolites with segmented flow NMR
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tensile strength, so engineers have to rely on steel reinforcement. This project explores a different approach: nature has already perfected the art of turning brittle minerals into tough materials, like
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characterization of promising sulfur-based polymer (semi)-solid electrolytes for different silicon anodes and Li-metal technologies. Characterization will involve a combination of electrochemical impedance
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Postdoctoral researcher MAKEBELIEF: Imagineering Religion and Religious Heritage in China - Meertens
of immersive media in China. One of the case studies mentioned in the proposal is the Oriental Buddha Park in Leshan, you are invited to add case studies or sites to your research; You have a PhD in Religious
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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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qualitative research skills, policy analysis experience, and experience working in different One Health settings abroad. Your duties and responsibilities include: Contribute to the BIORESIST study by evaluating
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arts and law. What you bring A PhD in economics, political science, public administration or another relevant discipline with a substantive quantitative background; Experience in analysing labour force