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that could redefine how we treat osteoarthritis? We are looking for a motivated PhD candidate for a cutting-edge project at Radboudumc that aims to unravel and therapeutically target dysregulated energy
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potential of aardaker, creating the foundations for its future use in Dutch food systems. The second PhD (PhD2) will concentrate on high-throughput phenotyping and bioinformatics across the three crops (with
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. The major part of these emissions comes from the reduction of iron ore in the blast furnace process. One line of reducing these emissions is to increase the scrap metal fraction in steel production, i.e
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candidates will join a highly collaborative, interdisciplinary environment, working with experts in oncology, neurology, cell biology, bioinformatics, and clinical research. Access to unique datasets, cutting
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quantitative/statistical and bioinformatics skills. You will coordinate collaboration by managing cross-team experiments. You will write and publish your research in leading scientific journals and communicate
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parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD
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designers of their workplace rather than passive recipients of noise measurements. The research will follow an iterative research and development process characterized by deep, on-site engagement with NPICU
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researcher who enjoys working on methodological challenges. You bring: an MSc degree, preferably from a research master, in psychology, neuroscience, bioinformatics or a related field, candidates who will
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? The research project Ependymomas are brain tumors that primarily affect children. Despite intense treatments like surgery, radiation, and sometimes chemotherapy, the survival rates remain low because some cancer
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on cell-state diversity within tumours. In parallel, you will collaborate closely with a postdoctoral researcher to develop and apply novel proximity-labelling strategies to chart dynamic protein–protein