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zu Berlin contributes to the development of NOMAD, the world’s largest data repository for materials science. Within SolMates, the team builds on its experience in integrating image segmentation and
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the timeframes specified by the provider. For the controller, this provider is the data processor for the purposes of Wrocław University of Science and Technology. Data Transfer Outside the EEA Your personal data
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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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We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical engineering, Department of Electrical Engineering. Become part of our innovative team and contribute
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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days 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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Reporting to the Director of Imaging Services, this Associate Director will foster a just culture and culture of innovation to develop an effective and reliable hospital imaging program across the OSUWMC
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to diagnose and/or treat cancer. The post will be in the Department of Physics and Astronomy, but the successful candidate will be expected to forge strong collaborative links between the Cockcroft Institute
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Small Animal Clinical Sciences Location College Station, TX Open Date 5/31/2022 Position ID 96724 Description The Department of Small Animal Clinical Sciences, College of Veterinary Medicine
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines