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and management, we invite you to apply and be an integral part of the GSE's vision for "improving lives through learning." This position is eligible for a hybrid work agreement in which the employee
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focus on machine learning in the Stanford Center Cancer Cell Therapy at Stanford University School of Medicine. We seek a highly creative and motivated scientist to perform cutting-edge computational
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-, and machine learning-based approaches to understand how distinct, spatially organized brain cell types communicate and how this communication shapes behavior, cognition, and disease. We are part of a
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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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. To achieve this mission, we develop and apply cutting-edge methodology from decision sciences, statistics, machine learning, AI, and health economics. The development and use of microsimulation models is
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fashion, ultimately improving meaningful educational, clinical, or system outcomes. RESEARCH AREAS INCLUDE: Education; Assessment; Organizational Psychology; Data Science; AI/Machine Learning CORE DUTIES
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clinical shadowing experiences. Research topics range from machine learning, designing, and evaluating clinical decision support content to disintermediate scarce medical consultation resources, evaluating
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act like a mentor and resource to others. PHYSICAL REQUIREMENTS*: Constantly sitting. Frequently perform desk-based computer tasks, use telephone, writing by hand, sort/file paperwork. Occasionally
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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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, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push, and pull objects weighing over 40 pounds. Occasionally sit