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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited person will join the
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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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an appropriate subject area (or close to obtaining the PhD) -Knowledge of the publication process, with the candidate having published or be near to publishing at least one first author research article. -A good
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 17 hours ago
characterization of these devices as well as proof-of-concept prototype electronics that will be manufactured in more traditional solid-state processes. As part of this project, you will be expected to work closely
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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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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The purpose of the project is to design fully automated
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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