36 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" positions at Georgetown University
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of Applied Psychology. Current faculty conduct research on a wide range of topics pertaining to the future of work, including entrepreneurship, collaboration, remote working, labor markets, algorithms, machine
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of Applied Psychology. Current faculty conduct research on a wide range of topics pertaining to the future of work, including entrepreneurship, collaboration, remote working, labor markets, algorithms, machine
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of Applied Psychology . Current faculty conduct research on a wide range of topics pertaining to the future of work, including entrepreneurship, collaboration, remote working, labor markets, algorithms
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Implement and maintain bioinformatics workflows for sequence analysis and protein characterization Collaborate on algorithm development to improve protein generation accuracy and diversity Laboratory
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intelligence in relation to intellectual property, algorithmic bias, and the practice of law Internet policy and competition; Accountable domestic and global tech governance (including privacy, content
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relation to intellectual property, algorithmic bias, and the practice of law Internet policy and competition; Accountable domestic and global tech governance (including privacy, content moderation, and
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health equity and health services research. The candidate must possess a PhD in Biostatistics or Statistics or related areas, with strong interest in health equity studies and health services research as
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of Hackensack Meridian Health in Hackensack, New Jersey. For further information about LCCC please visit https://lombardi.georgetown.edu . REQUIREMENTS Applicants must have a PhD and or MD degree in a relevant
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), and the Massive Data Institute (MDI). The postdoctoral fellow will be housed at both CS and MDI. Applicants should have a PhD in computer science with an emphasis on AI systems, vulnerabilities
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, desert ecologies, or related fields. The search is open to those who hold a PhD in the natural or life sciences or closely aligned fields. The successful applicant will be an enthusiastic scientist who is