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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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, working at the interface between plankton ecology and computer sciences. The postdoc will work in strong connection with the GreenOwl team of Inria (National Institute for Research in Digital Science and
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surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar field. Proficiency in deep learning and exceptional
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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technology with a focus on thermal process chemistry, chemical engineering, or an equivalent area relevant to the project. Documented laboratory experience with high-temperature experiments and materials
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bai Lab (Basic Sciences Division) is looking for a Postdoctoral Fellow to join a diverse
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this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay
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biology Experience and expertise in using model organisms (preferably zebrafish) Experience and expertise in imaging techniques and image analysis Possess strong bioinformatics skills for analysing and