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Field
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the Department is searching for a postdoctoral researcher with training and experience in structural biology (X-ray crystallography) and ideally natural product biosynthesis. A postdoctoral position is available
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
/PhD – in English) List of publications 2 recommendation letters or full contact information of 2 academic references Documentation of skills in written and spoken English Applications received after
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the project area ● Curious mind-set with a strong interest in natural sciences and arctic, systematics and or/taxonomy ● Good collaboration, communication and fluent English language skills Terms of employment
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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one of the world’s leading research institutions in the field of Biodiversity and Earth System Research, with eight research institutes and three natural history museums across Germany and scientists
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isotopes in zircon Applications to chemical mochometry LanguagesROMANIANLevelMother Tongue LanguagesENGLISHLevelGood Research FieldPhysics » Crystal growthYears of Research Experience1 - 4 Internal
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funded by the German federal government and 10 percent by the state of Berlin. A fully funded computational postdoctoral position is available in the Spatial Proteomics research group headed by Dr. Fabian
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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part of an (international) team, and excellent command of English (mastering the German Language is not required). Specific Requirements A PhD in history, digital humanities, cultural studies, philosophy
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision