24 postdoctoral-image-processing-in-computer-science-"EPIC" PhD research jobs in France
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closely with our collaborators to establish a deep learning-based image analysis pipeline. The successful applicant should hold a PhD in cell biology or neuroscience. Previous experience in live cell
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as
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spanning molecular genetics, genomics, cell biology to biophysics, mathematics and computational modeling. The laboratory is housed at ENS de Lyon, a top-ranking French university, situated in the vibrant
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Information Eligibility criteria The candidate must: - Hold a PhD in microbiology or cell biology - Have significant experience in fluorescence microscopy: time-lapse, dynamic imaging, multi-channel, etc
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27 Aug 2025 Job Information Organisation/Company CNRS Department Centre de recherches sur les macromolécules végétales Research Field Chemistry » Physical chemistry Physics » Chemical physics
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conferences. Expected competences The candidate should have a Master degree in neuroscience, cognitive science, psychology, or a related field. Required qualifications are experience with brain imaging
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 1 month ago
such as molecular biology, flow or spectral cytometry, immuno-histochemistry, inflammatory signaling pathways, cell culture, imaging, and multi-omics analysis. Knowledge of environmental exposures and their
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Deadline 17 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded
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candidate will perform experimental work related to the PUI FITInnovE project “PEPTAFLU.” This postdoctoral project aims to characterize inhibitory peptides developed through engineering using phage display