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completed postdoctoral training. To be considered, those interested must apply through the University of Chicago’s Academic Recruitment job board, which uses Interfolio to accept applications: https
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 12 days ago
engineering Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Positions Master Positions Application Deadline 15 Apr 2026 - 11:59 (Europe
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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and experience combined of which two years must include related post high school education) Required License No If yes, what is the required licensure/certification? Required Computer Applications
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licensure/certification? Required Computer Applications: Not Applicable Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Demonstrated ability to accurately type
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in specialty area preferred; knowledge of medical terminology desired; clinical research certification from an accredited certifying agency desired; computer skills required with experience using
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maintain power and non-power equipment including: Mops, shovels, brooms, pressure washers, scrubbers, power floor sweepers, shampoos, vacuums, high speed floor machines, buffers, walk behind floor machines
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of working on a computer Advantages: active participation in scientific research work, training, recognition and awards for excellence, experience working in a cell laboratory, experience working with PCR
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI