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This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all
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fluency in both spoken and written English Familiarity with machine learning, information theory and signal processing. Experience with algorithm development Familiarity with basic molecular biology
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familiarity with AFNI are strongly preferred. Knowledge, Skills and Abilities: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer
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students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one of the founding departments at Stanford. The department is
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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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. Knowledge, Skills and Abilities: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master programs. Ability to work under deadlines with general
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medical, dental, retirement, and savings options: Events and programs for children, sports camps, and tuition options World-class intellectual stimulation through learning and development classes, workshops
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focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of
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preferred. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a
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certification is preferred. PHYSICAL REQUIREMENTS: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk-based computer tasks