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Job Ref: 10026502 Location: Yokota Headquarters-Japan Category: Advising and Enrollment Type: Full time Manager, Student Financial Operations UMGC Asia Location: Yokota Administrative Headquarters Building, Japan Overseas Regular Employee, 100% FTE (Full-Time), Grade 005 The Manager, Student...
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Job Ref: 10026500 Location: Yokota Headquarters-Japan Category: Advising and Enrollment Type: Full time Associate Director of Academic Operations and Student Services UMGC Asia Location: Yokota Administrative Headquarters Building, Japan Overseas Regular Employee, 100% FTE (Full-Time), Grade 006...
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University to support the work of the division and to advance UMGC academic priorities. The Assistant Vice President will collaborate closely with the Chief Learning Experience and Success Officer (CLESO
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managements of IMS which is an inter-university research institute*. Teaching and supervising graduate students as a professor of SOKENDAI (The Graduate University for Advanced Studies). * https
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, such as algorithms and learning theory, alongside applied technologies, such as machine learning, pattern recognition, and perceptual information processing, in addition to the classical theory of
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the complete event reconstruction and systematic uncertainty estimation pipeline for Super-Kamiokande. Reduction of Super-Kamiokande systematic uncertainties using machine learning, control samples
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, 2013, the period of employment and the possibility of reappointment itself may differ from the above description. Where to apply Website https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id
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systems for visual and spatial intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling
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in AI, machine learning, and high-performance computing, uses molecular dynamics, coarse-grained simulation, and multiscale analysis to elucidate structural formation, dynamics, and the mechanisms
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various functions of HPC systems, such as resource scheduling, electrical power control, program execution, etc. For these, aims to “mutually improve AI/machine learning and high-performance