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Spohn, Simone Warzel and Michael Wolf See our website for further details: www.trr352.de Application Process: Please first contact one of our PIs in your field of expertise to obtain their commitment and
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
skills and experience and interest in data analysis, data science, machine learning and process automation would be an advantage. Previous experience with XAS or other synchrotron-based techniques would be
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. No. 6974 until July 13th, 2025 to eim-m-gs@uni-paderborn.de. Information regarding the processing of your personal data can be located at: https://www.uni-paderborn.de/en/zv/personaldatenschutz . We are not
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Understanding the individual and relative motion of particles is fundamental to understanding transport processes in complex flows. Large-scale transport in atmospheric flows is well understood and measured by
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma
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flow within cerebral aneurysms. Arterial geometries are derived from medical scans (e.g., CT) of real patients, which are suitably meshed and processed for numerical treatment using Lattice-Boltzmann
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are currently stuck in academia and are not yet used regularly in industrial development processes. We believe that fully automating the verification process is a crucial step towards a broad acceptance of this
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Limitation:Temporary (2 Jahre, mit Möglichkeit zur Verlängerung) Contract:TV-L Key Responsibilities Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine
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processes Benchmarking and validating models against domain-specific tasks such as retrieval, summarization, metadata extraction, and structured problem-solving Investigating advanced strategies for model