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repeatable research and dynamic spectrum sharing, create custom scenarios and terrains, be accessed through open APIs, and help to advance artificial intelligence and machine learning. We are in search
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lifelong learning and discovery. In addition to the support of colleagues within the Family Philanthropy Program, the ADMG will leverage available resources including the Family Fellows Program—targeted
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Director should have a strong analytical mindset, an advanced knowledge of travel booking, expense reimbursement, and leading corporate and purchase card practices, a deep understanding of developing key
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(including AI and machine learning). Cultivate a culture of innovation across the organization. Drive strategic initiatives in product development and tech innovation. Collaborate with senior leadership
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materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about
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questions, to write well-documented code in Python, and to demonstrate familiarity with machine and deep learning methods. There will be opportunities to co-author publications and contribute to grant
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to think independently and critically about biological research questions, to write well-documented code in Python, and to demonstrate familiarity with machine and deep learning methods. There will be
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actionable insights to leadership and help drive data-informed decision-making. Utilizes a broad and deep understanding of all areas of Workday Reporting & Analytics including Report Writer, Prism Analytics
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global network of campuses and partners for students and faculty to leverage for learning and research; a deep investment in lifelong and experiential learning; a premium placed on pedagogical innovation
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range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The R&D Engineer will work