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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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models. A PhD in immunology or cancer biology is required. Candidates should have at least one first-author peer-reviewed publication. Interested individuals should apply by submitting a CV, a one-page
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. Backholm) would be your main supervisor. Together we would design your work so that it fits your background and interests and provides the best springboard for your future career. You would also work in
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research in cancer systems and developmental biology. They will independently design and execute experiments using advanced techniques such as ATAC-seq, ChIP-seq, RNA-seq, and single-cell or spatial genomics
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
of the adverse effects of the space environment utilizing satellite observations, physics-based numerical models, machine learning, and data assimilation. Our research will help safely design and operate
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. Our research will help safely design and operate satellites and maintain ground networks. In our research, we try to bridge our theoretical studies with high-performance computing to develop tools
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
high-impact scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, Remote
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biosafety level 2 to enhanced biosafety level 3. Minimum Education Candidates should have a recent PhD, DVM, MD/PhD in biomedical sciences with practical experience in immunology (innate and adaptive immune
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the time you start (you can apply before they are met e.g. during your PhD). A doctoral degree (PhD or equivalent) in an area relevant to the announcement. Everyone is welcome to apply but due to regulations
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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD