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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
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. Emerging technologies for systems vaccinology – multi-omics integration and single-cell (epi)genomic profiling. Curr Opin Immunol 2020. Link Essential Qualifications PhD in Immunology, Cell Biology
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the research direction of the announced project. • Excellent command of written and oral English (B2). • Experience in the presentation of scientific results in written and oral form. • Dedication towards
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, adaptability, and usability within physics and materials science communities Publication and dissemination of research findings in scientific journals and conferences Your Profile: A master degree and a doctoral
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crosslink highly diverse bioeconomic production systems and to control them in a knowledge-based, adaptive, and largely automated manner. We conduct research in dialogue with society - knowledge-motivated and
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
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group, led by Prof. Dr. Kristel Michielsen. For more information about the research group have a look here: https://www.fz-juelich.de/en/ias/jsc/about-us/structure/research-groups/qip Your Profile: Master
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of research results at conferences and publication in peer-reviewed journals Representation of JCNS-3 in project meetings and on international conferences Your Profile: Basic qualifications: Completed Master’s
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 hour ago
behavioral experiments, and state-of-the-art functional imaging, electrophysiology, and electron microscopy techniques. For more details, please visit our lab’s website . Your profile We are seeking a highly
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized