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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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The Leibniz Institute for the History and Culture of Eastern Europe (GWZO) conductscomparative research into historical and cultural developments and processes in the region between the Baltic Sea
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, we are seeking a highly motivated Postdoctoral Researcher with a background in molecular biology, biochemistry, or bioinformatics to contribute to our work in developing novel therapeutic approaches
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sense of touch with low-magnitude normal and shear forces as well as sensing of multiple contact points. Additionally, the end effectors need to be modular to handle different surgical tools. Furthermore
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detection, diagnosis, and intervention for Autism Spectrum Disorders (ASD) and other conditions impacting social development. Supported by multiple funding bodies (e.g., DFG, BMBF, Rett Syndrome Foundation
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
transcription, RNA processing and protein synthesis, thereby establishing multiple regulatory layers. So far, however, the exact biological role of most DNA/RNA modifications is largely elusive. Therefore, we
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus