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machine learning neuroimaging project with a broader interest linking imaging characteristics to molecular biology & neurodevelopmental symptoms. The project is a 3 year position supported by the Great
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broader interest linking imaging characteristics to molecular biology and neurodevelopmental symptoms. The project is a 3 year position supported by the Great Ormond Street Hospital Charity, and we would
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older adults will complete this daily-life multitask within a structured training paradigm. Next to the PhD research, the PhD student will spend 10% of their time on teaching assignments (practical
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analysis · Tissue processing and staining · Cell/tissue imaging techniques such as fluorescence and confocal microscopy Online Application Required Documents Curriculum Vita Name and Contact Information
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Researcher (R1) Positions PhD Positions Application Deadline 30 May 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded
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and brain. Perform molecular, cellular and histological experiments, including AAV injections, tissue processing, immunostaining and stereological confocal image analysis. Develop and apply image and
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preparation, development and verification of models and generalization of solutions. Your background For this position, you are required to have a PhD in electronics, metrology, computer engineering or a
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications
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We offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is supported by Google.org and is embedded in a broader research
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
achieve a better accuracy. Our future work aims at generating automatic 3D pose, shape and texture of animals from images acquired in-the-wild. The project This project is aimed at bridging the gap between