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. Are you interested in applying your machine learning and deep-learning expertise to develop cutting-edge ecological and environmental research? The Senckenberg Gesellschaft für Naturforschung invites you to
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention. The Department of Molecular Metabolism
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SEAGUARD This position is embedded in the SEAGUARD project (Seagrass Growth and Adaptation Using AI Research & Development), which focuses on assessing the CO₂ storage potential of seagrass meadows and
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-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and
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for molecular biology and genomics. Your work will also include maintenance and care of plankton and invertebrates in a laboratory setting in support of experimental research. You will support multiple projects
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near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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, food, industrial, and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes, and management strategies, effectively converging technologies
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projects in the department (i.e. restoration ecology, multiple stressor analyses, long-term ecological research) Development of VREs (BMD position) Data analysis, preparation of manuscripts and reports
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-fli.de ). The Research Group led by Prof. Dr. Dario Riccardo Valenzano is seeking a highly motivated Postdoctoral Researcher to join our team in studying demography and adaptive evolution in wild killifish