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! PROJECT: The project entitled ‘Dynamic cues guiding postnatal germline development in marmoset‘ focuses on single-cell transcriptome analysis of germ cell development in a non-human primate model. In
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-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The junior research group (Epi-)Genetic Regulation of Fungal Virulence (https://www.leibniz-hki.de/en/epi
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the Helmholtz-Zentrum Hereon, invites applications for a PostDoc Position, starting September 1st, 2025. This 4-year position focuses on developing and testing of archetypes for drought risk cultures followed by
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FUBLUC (ca. 20 participants) that aims to (i) understand the blue carbon potential of Fucus meadows in the Baltic Sea and (ii) to develop methods to restore Fucus algal meadows in degraded habitats
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projects on metabolic diseases * Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories * Collaborate with clinicians
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evolution and shell structure far from stability. Your tasks/Main Responsibilities: Assembly, testing, and commissioning of state-of-the-art detector systems and data acquisition (DAQ) componentsExecution
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The junior research group Metabolomics-guided Natural Product Discovery (https://www.leibniz-hki.de/de
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
waters are experiencing an increasing intensity of commercial, scientific, and political developments. The Southern Ocean is no longer a remote region (if it ever was). Scientists, fishers, and tourists
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is to investigate which antigen specificities are enriched in cell subpopulations, depending on the underlying neurological disease. The project will use high-throughput data to develop and apply