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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of...
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live-cell imaging, we can now explore hormone regulation at unprecedented single-cell resolution. Using these tools, we have observed dynamic fluctuations in brassinosteroid signalling throughout
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The Faculty of Engineering, Department Toegepaste mechanica, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate, contains: We are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of...
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from our earlier work on direct beam patterning of MOFs (see https://www.nature.com/articles/s41563-020-00827-x). The position offers opportunities to collaborate within a multidisciplinary team, engage
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for Microbiology and VIB.AI, creating a unique interdisciplinary environment for this research project. About the project This position offers the opportunity to lead a cutting-edge project at the intersection
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The Faculteit Geneeskunde en Farmacie, Department Basis (bio)-medische wetenschappen, Research Group Genetics Reproduction and Development is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate, contains: Are you a...
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, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have an analytical mindset be able to summarize data extracted
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Per Week 38 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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-brain axis, and identify immune-mediated drivers of brain dysfunction. Position The Computational Neurobiology group (Dr. Valeriya Malysheva), Gut-Immune-Brain Axis Lab (Dr. Seppe De Schepper
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights