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of >10 members, including a full-time senior PhD statistician and both clinical and full-time postdocs. Our projects typically leverage large sets of either registry-based, biomarker, genetic and/or
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Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging applied to sustainable materials. About
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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-lyon.fr Requirements Research FieldEngineering » Biomedical engineeringEducation LevelPhD or equivalent Skills/Qualifications Educational background: PhD in Biomedical engineering, Optical Imaging/Physics
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FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria - stereotactic surgery in rodents - two-photon imaging - analysis using Python and MatLab - scientific writing
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 days ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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researcher will carry out research tasks in IMAG, within the ERC NEMESIS project team, led in IMAG by two principal investigators, Jérôme Droniou (CNRS) and Daniele Di Pietro (University of Montpellier
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researcher will be responsible for performing statistical analysis of complex datasets derived from large-scale biological images, as well as proteomic and genomic data. The postdoctoral researcher will
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and