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Computer Science, Bioinformatics, Biomathematics or a similar subject Competitive scientific publication record High level of intrinsic motivation and enthusiasm for translational research connecting academia and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics. The field has emerged in parallel with rapid technological
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
, social and behavioral sciences, and statistics. The field has emerged in parallel with rapid technological improvements in computing, the spread of Internet and mobile technologies, and the increased
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/ health applications. Requirements: PhD in one of the following fields (depending on the focus area): Applied mathematics, computer science, engineering, physics Computational biology, bioinformatics
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, operation and documentation of complex IT projects in the areas of IT infrastructure, servers, administration and data centers: User administration and rights management Network configuration and operation
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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database
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prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions
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prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions
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models to investigate causal relations, e.g. by direct bacterium-host cell interactions or via microbial metabolites. We use well-established, cutting-edge wet-lab techniques combined with bioinformatic
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models to investigate causal relations, e.g. by direct bacterium-host cell interactions or via microbial metabolites. We use well-established, cutting-edge wet-lab techniques combined with bioinformatic