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Field
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of clinical, genetic, imaging, digital and biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease
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supervision of the Institute's Executive Director and Academic Program Director, in partnership with the Institute's faculty, fellows, and staff. The Tech Institute is a hub for policymakers, academics
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of the Institute’s Executive Director and Academic Program Director, in partnership with the Institute’s faculty, fellows, and staff. The Tech Institute is a hub for policymakers, academics, advocates, and
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Qualifications Faculty members in the Department of Human Genetics will need to meet the following requirements: Requirements (essential) Ph.D. Computer Science, Bioinformatics, Biomedical Engineering or
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Opportunity Employer and does not discriminate against persons on the basis of race, religion, color, ancestry, age, disability, genetic information, gender, gender identity, gender expression, marital status
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, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc
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California State University San Marcos | San Marcos, California | United States | about 2 months ago
data types such as dictionary, priority queues, matrices, and relations, foundation of recursive algorithms, complexity analysis, complexity classes, sorting and searching, computability and
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Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
of the most diverse health databases in history. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and
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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and