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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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LevelPhD or equivalent Skills/Qualifications Holder of a PhD degree in physiology, biomedical sciences, bioengineering, imaging, or related field, you have a first research experience (research engineer
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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develops microfluidics devices for non-destructive single-cell imaging in controlled conditions that, combined with molecular genetic methods, allow to monitor the dynamics of these processes at the single
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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vacancy at Post-doctoral level in image Guided Neurosurgery. Funded by the EIC Pathfinder HyperProbe project (hyperprobe.eu ). This exciting and broadly scoped position is hosted at CREATIS Lab in the group
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Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 8 Nov 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our team is looking for a talented and motivated postdoc
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in