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collection, record-keeping, and documentation of experimental procedures -Willingness to learn new laboratory and technical skills across molecular biology, acoustics, and instrumentation development Preferred
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applying machine learning to brain imaging analysis. * Assigned department Existing departments [Work location] * Address 113-8657 Tokyo 1-1-1, Yayoi, Bunkyo-ku, Tokyo, 113-8657 [Number of hired] Number
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proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff
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metrics. - Uso de técnicas de aprendizaje máquina/profundo y técnicas de segmentación aplicado al procesamiento de imágenes y vídeo / - Use segmentation and machine/deep learning techniques applied to image
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | 22 days ago
23 Oct 2025 Job Information Organisation/Company University Centre for Energy Efficient Buildings, Czech Technical University in Prague Research Field Computer science » Computer hardware Computer
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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knowledge of Python Interest in AI, machine learning, or game design Ability to work independently and meet milestones Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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programming language. Does this position have supervisory responsibilities? No Preferred Education/Experience B.S. in Anthropology, Computer Science, or related fields; experience with digital mapping, GIS