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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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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | 15 days ago
properties at different stages of the aggregation process. Funding category: Autre financement public ANR ALICE PHD title: Physique PHD Country: France Where to apply Website https://www.abg.asso.fr/fr
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processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700 Applications must be submitted via the application portal of the University of Tübingen by 12 April 2026. Formal
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discovered mechanism by which neurons remove dangerous “trash” in a project relevant to human neurodegenerative disease mechanisms. The experienced PhD scientist hired will work on a focused project on the
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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applications will begin immediately and continue until the completion of the search process. Inquiries, nominations, referrals, and CVs with cover letters should be sent via the Isaacson, Miller website: https
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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consideration. Questions relating to the application process should be directed to Jeremy Brofft, Senior Recruiting Specialist, xmf9ad@virginia.edu . For information on resources for postdocs at UVA, visit https
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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical