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, ecological and societal components, which are only fragmentarily known so far. This includes the identification of critical conditions and tipping points for these subsystems, their capacity to resist to and
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considered. The ideal candidate will have a background in immunology, tissue biology or cellular metabolism. Experience in working with animal models, cell isolations from tissues (lung, intestine), human
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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Work group: Institute of Coastal System Analysis and Modeling Area of research: Scientific / postdoctoral posts Starting date: 21.05.2025 Job description: Postdoc position in the field ofclimate
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Start of announcement 21.05.2025 End of announcement 18.06.2025 Institute or department Institute of Coastal System Analysis and Modeling Location Geesthacht Apply now Go to applicant portal
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.08.2025 for a Postdoctoral position in coastal ocean modeling in the Department of Physical
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
erythematosus (SLE). This project will integrate biochemical, immunological, and imaging techniques, along with co-culture of patient-derived organoids and model organisms combined with various –omics approaches
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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' prognosis or treatment decisions. For modeling, we use both public and proprietary clinical and research data greatly enriched by our own repository of digital pathology images. A further focus lies on