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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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. Certifications: --- Preferred Qualifications Education: PhD or doctoral degree in a related field. Specialized training or certifications in gynecological and obstetric imaging modalities (e.g., advanced
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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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, 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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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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) Positions PhD Positions Application Deadline 30 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through the EU
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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Posting Summary Logo Posting Number RTF00050PO26 USC Market Title Associate Scientist Link to USC Market Title https://uscjobs.sc.edu/titles/156374 Business Title (Internal Title) Associate
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completion of a PhD. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. For an information package including full details of the post
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random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material