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to space weathering and soil alteration and devise ways of testing it. Acquire, assemble, and perform analyses of data and interpret results. Manage research project with other SSERVI institutions and
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background in Quantitative Statistics. Experience on RNA-seq analyses (STAR, Salmon, DESEq2, DCC) and machine learning. Working knowledge of UNIX, Perl/Python, R, and Docker. Analytical reasoning and problem
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driven to initiate and maintain the excellent operation of the TSC. Working knowledge of computer software including Microsoft Word and Excel and willingness to learn database management. Strong
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facilities at the PSC, including all video and computer equipment. Teaches at least one course per semester (often a graduate course in the clinical training program, such as Introduction to Psychological
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facilities at the PSC, including all video and computer equipment. Teaches at least one course per semester (often a graduate course in the clinical training program, such as Introduction to Psychological
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gathering and reporting, education technology, curriculum operations process improvement, online course listings, course and program evaluations, internal records, coordination of PhD and MD curriculum
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software for effective modeling. Project 2: Machine Learning for Medical Image Analysis • Apply machine learning techniques for feature extraction from medical images, including MRI and ultrasound. • Build
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Scheduled Hours 40 Position Summary The DRIVES Project has an opening for a senior scientist with interests in Alzheimer’s disease (AD), biomarkers, driving, machine learning, and/or artificial
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Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning, involving the relationship between the eye and brain
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Computational Ophthalmology Lab . The Lee Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning, involving