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proposed research field (e.g. Environmental Sciences, Applied Mathematics, or Statistics). Good working skills on either image analysis, advanced data processing (e.g. neural network, clustering
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a
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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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, image analysis. Where to apply E-mail thomas.cailly@unicaen.fr Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications - A PhD in oncology/neuro-oncology
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of manufacturing - characterise the sensitivity of these sensors and test their operation on an all-optical photoacoustic imaging system The postdoctoral fellowship will be carried out at the Fresnel Institute
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to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes
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resonance spectroscopy, imaging (MRI), Applied Mathematics or Machine learning. We are looking for talented, highly-motivated experimentally skilled young scientists with Master degrees or equivalent or PhD
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Experience1 - 4 Additional Information Eligibility criteria Hold a PhD in Neuroscience or Biology Possess training in animal experimentation and surgery Knowledge in fundamental Neuroscience and the
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | about 1 month ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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software; analysis of existing image databases and new datasets. - Selection and tagging of deep aggregates (ROV): protocols to be defined with the PhD student; participation in data acquisition. - Analysis