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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
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to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ What are we looking for in you? Personal skills: We are seeking a highly motivated, enthusiastic and
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a soldering station, hardware tools, as well as using a computer You are willing to expand your knowledge to cover the entire range of sample environment at JCNS You are a good team-player when it
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large research team. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
data scientist, several student learners and a faculty member of the UCSF Department of Epidemiology and Biostatistics. The team has extensive experience with machine learning, artificial intelligence
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-related field and have demonstrated commitment to teaching excellence and innovation. We are seeking candidates who can teach large lower- and upper-level undergraduate and master’s level courses in AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
manual dexterity for computer work. Occasional night and weekend work required. Campus Security Authority Responsibilities Not Applicable. Special Instructions Applicants will need to submit a cover letter
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of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations
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of the project, and will contribute to shaping the scientific directions of the AUTOMATIX project. Context The increasing availability of full-field experimental data and advances in machine learning offer new