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vitro infections, new infection models and live imaging methods Teaching: Organise, lead and conduct exercises, seminars and practical courses in genetics in accordance with the examination and study
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Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization
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talents and passion as we work together to drive forward scientific progress. The Institute of Machine Learning in Biomedical Imaging (IML) focuses on pioneering research to harness the power of machine
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
analysis of SMC motor proteins (the candidate with prior experience in quantitative (imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D
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national and international longitudinal cohort studies, providing access to multimodal progression datasets of large patient cohorts (500-1000 subjects) with clinical, neuropsychological, imaging, and
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systems, organoid culture, orthotopic transplantations of cells/organoids, CRISPR/Cas9, molecular in vivo imaging, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) for the project “Theory and algorithms for structure determination from single molecule x-ray scattering images”. Project
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/continued employment is being sought) Contract:TV-L Your tasks As a key member of our interdisciplinary team, you will: Harness a comprehensive dataset spanning digital pathology images, methylation profiles
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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the Department Molecular Metabolism and Precision Nutrition E-Mail: olga.ramich(at)dife.de We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6