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Field
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of cloud microphysical processes, with the goal to better understand clouds and their interactions with other Earth system components. Using this framework, we strive for a high degree of process-level
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. In this position, you will drive the bioinformatical/computational aspects of collaborative projects aiming to ultimately improve immunomonitoring of cancer patients by providing a refined strategy to
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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computational methods using network-based analysis, machine learning and dynamic modeling. We are a young, dynamic team at the idyllic Dahlem campus and teach mainly in the Computer Science, Bioinformatics and
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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international conferences Assist in the mentoring of team members taking on computational tasks Requirements PhD or equivalent in bioinformatics, computational biology, cancer biology or similar Strong background
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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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into high-quality, reusable Python software packages. - Engaging in the full software engineering process, including refactoring, comprehensive testing to ensure code reliability, and creating clear
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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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the molecular level to systems and computational approaches. Researchers at IMB are supported by strong core facilities that offer state-of-the-art services in bioinformatics, cytometry, genomics, microscopy