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Posting Details Title Information Faculty Title Part Time Lecturer Job Class Code 00052 Job Code G FLSA Exempt Position Information Posting Number PTFRGV0997 Working Title School of Art: Part-time
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The scientific activity will deal with SAR image processing and analysis
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 days ago
available1Company/InstituteInriaCountryFranceCityPalaiseauGeofield Contact City LE CHESNAY CEDEX Website http://www.inria.fr Street Domaine de Voluceau - Rocquencourt Postal Code 78153 STATUS: EXPIRED X (formerly
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/ProvinceMADRIDCityPOZUELO DE ALARCÓNPostal Code28223StreetCampus de Montegancedo, Universidad Politécnica de Madrid Contact State/Province Madrid City Madrid Website https://pdlab.es Street C/ Ramiro de Maeztu, 7 Postal Code
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. Prepare and document example code, usage guides, and reference materials to support external users building solutions on the IMAGE platform. Review and merge code contributions from students and other team
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available1Company/InstituteBioCampus Montpellier (BCM)CountryFranceGeofield Contact City Montpellier Website http://www.umontpellier.fr/ Street 163 rue Auguste Broussonnet Postal Code 34000 STATUS: EXPIRED X
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Radiology Full Time 87960BR Job Summary The Staff Research Associate I position in the area of cardiothoracic imaging lab is available within the UCSF Department of Radiology and Biomedical Imaging
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on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A., Yang, Z., Guilbert, T., Fouassier, L., Carn, F
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Primary Purpose: This position is designed to provide technical assistance to clinicians and undergraduate students essential to the provision of diagnostic imaging services for animals presented
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations