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foundation and practical experience in machine learning and reinforcement learning Experience in training and evaluation of machine learning models on large high performance computing infrastructure Existing
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., erythrocytes, leukocytes, platelets) in blood samples using fluorescence-assisted RT-DC measurements will be established. By developing and applying defined staining protocols, you will generate high-quality
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, static user representations, and data sparsity. While deep learning models offer improvements, they often come with high computational costs and require frequent retraining, which limits their scalability
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life sciences program Solid histology experience (tissue preparation, stainings incl. IFL and ISH, microscopy, RNA/protein preparation, in vivo), experience with LeicaBond (or similar), slide scanners
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independent research projects or subprojects if particularly qualified Your profile Successfully completed technician training with professional experience or BA/MS degree in a life sciences program Solid cell
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space management system Monitor system performance, troubleshoot issues, and implement optimizations for reliability and cost efficiency Maintain high-quality code with proper documentation, testing, and
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job funded through the EU Research Framework Programme? Other EU programme Reference Number S-605 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description European
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Research for a life without cancer” is our mission at the German
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(WNVI) framework and aims to advance its capabilities in the following directions: • Scalability: Extending methods to high-dimensional and three-dimensional elastography problems using neural operator
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12 Sep 2025 Job Information Organisation/Company UNIVERSITÄT BREMEN Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 10