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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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, 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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic systems with a strong focus on robustness, transparency, and reproducibility. Conduct
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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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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