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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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degree and one year of customer experience, equivalent education and experience considered. Must have computer proficiency in office applications. Strong written and verbal communication skills. Preferred
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Levine Lab - Electrophysiologist (Assistant Professional Researcher) Department of Oral and Maxillofacial Surgery University of California, San Francisco The Levine Lab is seeking a skilled and motivated
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Neuroscience, or another related field by the start date. Prior experience using computational techniques is preferred. Application Procedure: Apply online at https://jobs.virginia.edu/us and search for
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-detecting instrumentation (including SPECT and PET), accomplishes computer processing and image enhancement, participates in clinical and non-clinical research, and provides images, data analysis, and patient
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research by managing imaging data processes, supporting image analysis preparation, and ensuring research-ready datasets for ongoing and future studies. Essential Functions Coordinate imaging workflow
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: Experience or familiarity in one or more of the following: Embedded or real-time software systems Robotics or autonomous systems Computer vision or image-based sensing Controls systems or automation Data
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9 Jan 2026 Job Information Organisation/Company The Cyprus Institute Department CaSToRC Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First