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Field
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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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leading experts across the whole of Europe in statistical and medical genetics. The postdoc will also help in the recruitment process of the ~17,000 individual genomes that France will contribute to the GoE
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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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. Proficiency in programming and data analysis. Experience in imaging/microscopy is an asset. Autonomy, rigor, creativity, team spirit, and strong communication skills. Additional Information Selection process
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engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 23 Nov 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer
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, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Advanced expertise: Experience in Biophotonics, which may include light
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experience in computational methods, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Experimental set up experience would be
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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 project iMAGE aims to study the rise
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thermochemical reactor process for heat storage, characterizing its behaviour and thermal performance. Post-doc Objectives: A prototype, representative in scale of the final system (several kW and several kWh
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in medical image processing, in particular MRI - Knowledge of MR spectroscopy (or a strong desire to learn it quickly). - Expertise of artificial intelligence techniques and deep learning - Proficiency