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ERC postdoc positions in vascular, computational, and cardiac biology - Mendjan lab, IMBA, Vienna BioCenter The Mendjan lab aims to understand human heart development and disease through pioneering
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and PhD student to join Lengefeld at Viiki campus to perform a project focused on metabolic aging using hematopoietic stem cells. Qualifications for postdoc position: ⦁ PhD in hematology
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Area of research: Scientific / postdoctoral posts Job description: Postdoc (f/m/x) - Analyzing the effectiveness and safety of a novel RNA delivery platform 102856 Full time 39 hrs./week Neuherberg
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The Department of Ecoscience, Section for Wildlife Ecology at Aarhus University is seeking a postdoc (2 years) to develop and apply camera-based methods for population monitoring of bats
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archaea-bacteria consortia and a wide array of imaging approaches including structural and chemical imaging. The postdoc will use the following methods: Handling and experimenting with anaerobic syntrophic
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epigenetic processes in human cancers. We develop novel chemical probes, engineered enzymes, and synthetic chromatin platforms to dissect and manipulate chromatin-templated processes. This position aims
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Postdoc position to support international research and capacity-building projects employing elect...
One 2-year postdoc position is available from February 1st, 2026 or shortly hereafter, at Aarhus University, Department of Geoscience’s HydroGeophysics Group (HGG), within the field of airborne and
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leftward flow in the left–right organizer (LRO), but the identity and mechanism of the flow-transported symmetry-breaking cue has long remained elusive. Defects in this process are a major cause of
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long-standing and fruitful collaboration with the Department of Cardiovascular Imaging and Dynamics, in which the work will be applied in the context of cardiac excitation simulations. Job requirements
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project