57 postdoc-density-functional-theory Postdoctoral positions at Nature Careers in Germany
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role You will work in an international team to develop computational methods that are designed to investigate the effects of rare variants and apply them in large cohort studies. This project builds
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derived from the host, the diet or the microbiome shape the biology and metabolism of tissue-resident immune cells (e.g. T cells, innate lymphoid cells (ILC)) in health and disease. In particular the work
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contribute significantly to the preservation of the function and protection of the ocean for future generations. We are seeking a skilled and motivated post-doctoral researcher who will work in ecology -based
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. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome
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research strategy, including fundamental and applied approaches You will create, process, analyze, and interpret the research data, prepare reports, and scientific publications You will take part and present
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We offer: The successful candidate will be hosted in the junior research group Metabolomics-guided Natural Product Discovery and be part of a young and dynamic team. The Leibniz-HKI is embedded in
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Expertise in spectroscopic measurements and/or scanning probe microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a team Background in electronic
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at the Biomedical Center Munich . The professorship of Systems Neuroimmunology is part of the Cluster of Excellence SyNergy . The Institut für Klinische Neuroimmunologie in Martinsried near Munich invites
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cell culture is desired, additional experience in fungal molecular biology and fluorescence microscopy is an advantage Ability to perform team-oriented as well as independent work Willingness to take on
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on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand