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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
) are basic research institutes that foster collaborations between theorists and experimentalists. Their research program spans across scales from molecular assemblies to the formation of cells, tissues, and
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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analyse data from krill fishing operations and explore the potential impact of the fishery on krill populations. This will be achieved through the use of empirical approaches and simulation models exploring
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for the honeybee research program. Postdoctoral Researcher (f/m/d) “Insect Systems Neuroscience - Sleep, Social Reward and Memory Consolidation in Honeybees” The Post-Doc position, with a salary of TV-L E13 in full
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a Postdoctoral Researcher (Postdoc) - Artificial General Intelligence (AGI
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) Application Deadline 30 Jan 2026 - 12:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials and technologies. The institute employs an average of 500 people from over 40 nations and, in...
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 5 hours ago
organoid culture methods. Experience in computational analyses of proteomics or single-cell sequencing datasets. Experience in microscopy and image analysis. Effective collaboration in interdisciplinary
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Master’s theses Requirements: Master’s or PhD degree with above-average results in Applied Maths (analysis, numerics, modeling) or in a comparable program with a strong math. focus and knowledge in