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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
to the research, publications, and academic activities of the Department of Public Law is expected. There is no teaching requirement. If you are interested, we can help you gain teaching experience. Our Institute
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management systems of the future together! Our research focus: The researchers working at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 23 days ago
data analysis for the first telescopes at CTAO-South, the legacy programme and science archive for H.E.S.S, joint analysis between HAWC and H.E.S.S., and preparations for SWGO. The division benefits from
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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
qualified. Information about FAIR and GSI is available at www.gsi.de/en and www.fair-center.eu. For further information please contact Dr. Bettina Lommel (b.lommel(at)gsi.de). If you find this position
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Phase-0, the candidate will contribute to detailed data analysis, student supervision, and the dissemination of scientific results. The data obtained will advance our understanding of nuclear shape
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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D