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expansion of the composites and explore them as new copper current collectors for Li-ion batteries (with graphitic, graphitic+silicon based slurries or as Li Metal anodes). You will work in (Belvaux) and have
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the research and teaching activities at the Chair of Algorithmic and Structural Graph Theory within the Institute of Theoretical Computer Science at TUD. The main research area is the design and analysis
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machine learning or trustworthy AI, including experience with robustness assessment and attack/defense mechanisms. Expertise in software security and code analysis, with understanding of common
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Developmental Biology. Our research focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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BET/DFT surface area analysis, DSC, x-ray diffraction, Raman and IR spectroscopy etc. It is also planned to use synchrotron radiation facilities. Qualifications To be admitted for studies at third-cycle
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Experience with superresolution microscopy, computational image analysis Experience in working with complex cell cultures (epithelial models, organoids) Existing publication record WE OFFER: An international
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thinking. High level of English Advantageous: Experience in cancer nanomedicine. Experience in programming, mastering skills in data analysis. High level of optical microscopy, medical imaging experience. We
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and RNA-seq techniques (including data analysis) Cellular metabolism Mammalian tissue culture and cell manipulation Fluency in English (knowledge of German is not required) Our Offer: Scientifically
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motion) Pose tracking and behavior segmentation with tools like DeepLabCut, MoSeq, and Kinect-based systems Longitudinal analysis of behavior from early postnatal to adolescent stages in