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PhD position in a novel cell secretome-based therapeutics for osteoarthritis Faculty: Faculty of Veterinary Medicine Department: Department Biomolecular Health Sciences Hours per week: 36 to 40
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PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This
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civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information
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researcher with a strong technical background and an interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science
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criteria: A PhD (obtained, or nearly completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development
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team. Applicants should hold a PhD degree in Earth Sciences, Environmental Science, Marine Sciences or a related discipline by the time the position starts. More specific, you have: Experience in
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; Support method development, data interpretation, manuscript preparation, and grant writing. Your qualities Required qualifications and experience PhD in Proteomics, Analytical Chemistry, Biochemistry
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pipelines for processing and visualizing large-scale proteogenomics, MS-based immunopeptidomics/proteomics data. Ensure reproducibility and scalability of workflows using modern workflow tools (es
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microscopic to ocean-basin scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who