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facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working
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: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: A highly motivated research group as
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, initiative/commitment, ability to work in a team and willingness to cooperate, willingness to learn We offer: Interdisciplinary research at the interface of politics, economics and society Work in national and
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and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche Forschungsgemeinschaft and the
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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from the opportunities of an open society? How can we shape our education system and educational institutions to allow everyone in society to thrive? Our team would like to answer these questions with
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government, administration and business in their efforts to adapt to climate change. It builds up a national and international network structure in order to integrate existing competences and knowledge, and to
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
Ocean: Ecosystems, sustainability and competing interests at the edge of the world" covering natural and social science perspectives, that will cohere around the ‘dilemma’ facing the Southern Ocean: how
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation