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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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(polarization, cytokine analysis, etc.). ➢ Experience in confocal microscopy techniques and image analysis (ImageJ, Imaris software). Selection process Applications to this offer must compulsory be registered
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: Solid experience in experimental ultrasound imaging Solid experience with ultrasound sequence programming Solid experience with ultrasound image reconstruction and signal processing Desirable skill
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 9 hours ago
given reconstruction (considered as an image) from apriori information (the measured data-set, simulations, map of uncertainty). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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. Depending on area assigned, may specialize in one or more clerical functions, such as coding clerical support, transcription processing and interface. Coordination of record request, image scanning quality
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Certification preferred. Experience: Two years of Radiology imaging experience, cross sectional imaging and/or computer assisted imaging preferred. Knowledge/Special Skills: For staff holding an ARRT license (not
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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, original forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9