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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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€ 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail christina.graf@dzne.de Website https://jobs.dzne.de/en/p/helmholz/jobs/101578/postdoc
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preparation for sequencing) Work with state-of-the-art microarray and imaging systems. Analyze experimental data statistically and contribute to method development and troubleshooting. Ideal Applicants Must
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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Junior Research Group (https://physics-of-life.tu-dresden.de/research/core-groups/yang ) seeks an independent, passionate, and motivated Postdoc to take on a novel and highly interdisciplinary project
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Targeted services for international employees, e.g. through our International Advisory Service Exploration and preparation of next career opportunities supported by our Career Center & Postdoc Office ( https
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 2 months ago
tasks and coordination of collaboration projects Expertise with organoid cultures Expertise in advanced imaging techniques incl live-cell imaging If you fulfill all the requirements, you may be eligible
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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with