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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 10 hours ago
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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techniques (qPCR, immunohistochemistry, western blot) Cell analyses (in vitro assays, metabolism measurements) Recent open access research publications related to this position: https://onlinelibrary.wiley.com
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or genetic perturbation-as prior information, complementing or extending curated pathway knowledge. This combination allows us to move beyond purely associative integration toward structure-aware, causally
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institute website: https://www.fz-juelich.de/en/pgi/pgi-3 and the research group in which this position is located: https://www.fz-juelich.de/en/pgi/pgi-3/groups/multitip We work on the very latest issues
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, starting in Novenber/December 2026. The doctoral project will examine whether bacterial extracellular vesicles (bEVs) isolated from stool samples differ according to cognitive performance and menopause
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extension for another 6 months. It is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The PhD project aims at understanding how evolutionary principles can be harnessed to constrain bacterial
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focuses on the mechanisms regulating cardiovascular repair and aging. Where to apply Website https://hectorfellowacademy.applicationportal.org/ Requirements Research FieldMedical sciencesEducation
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Helmholtz-Zentrum Berlin für Materialien und Energie | Jena, Th ringen | Germany | about 2 months ago
chemistry Experience in organic synthesis and, ideally, in polymer synthesis Experience with analytical methods for polymer characterization Very good knowledge of electrochemistry and, ideally
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knowledge production in and through the arts. At the centre of the programme is inter- and transdisciplinary research within and through the practice of artistic working processes. Research is fundamentally
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with comparative investigations in Arctic Ice Regions - SPP1158), we aim to close these knowledge gaps using a data-mining approach. To do so, we will use in house as well as previously published 16S