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(e.g. By CRISPR) and / or localization studies. Besides carrying out the research project, you will contribute to teaching PhD, MSc and BSc students. Your duties and responsibilities include
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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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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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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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Sciences, Biobased Sciences, or have a related background (PhD degree is a plus); you have hands-on experience with molecular cloning, protein purification and biochemistry laboratory techniques; proactive
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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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will evaluate potential biases among different measurement approaches —including thermochronology, cosmogenic nuclides, and suspended sediment records— and apply advanced statistical analyses and erosion
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collections that can serve as references for future studies, (ii) enhancing the understanding of physical mechanisms and causal pathways to strengthen attribution analyses and model development, build