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tissue. As the successful candidate you will have a PhD in instrument development or be due to complete doctoral studies within 6 months of applying. Ideally you will have experience of light sheet imaging
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-probe measurement techniques based on photoelectron-photoion covariance imaging, and (3) experimental studies of charge dynamics and nonlinear processes. The project might also include complementary
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. degree in any quantitative science, preferably in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, and Neuroscience. Candidate should have a working
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Engineering, or related field. • Demonstrated expertise in deep learning and AI methodologies. Experience in medical image analysis, particularly applied to cancer research (pathology, MRI, CT scans) preferred
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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at imaging entire tissues at sub-micron resolution and to develop tissue clearing methods suitable for live or fixed tissue. As the successful candidate you will have a PhD in instrument development or be due
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/Qualifications We seek a PhD student in neuroscience, cell biology, or biomedical engineering with a strong academic record. The ideal candidate should be meticulous, with problem-solving aptitude and enthusiasm
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of small pixels and spectral requirements), interferometric techniques rely on comparing an interferogram imaged by the detector array with a simulated interferogram prior to detection. Through processing in
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Graphics: https://www.jku.at/cg Your Qualifications: The successful candidate must hold a Diploma/Master’s degree in a corresponding discipline (computer science, mathematics, engineering or related) or have
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independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department