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Field
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approaches across disciplines, from algorithms that analyze financial systems to technologies that improve health outcomes through data integration. Students gain in-demand skills and the ability to leverage
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for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare
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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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algorithms, programming languages, and libraries. Ability to understand and translate researchers’ scientific goals into computational requirements. Ability to identify and gain expertise in appropriate new
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are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital
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NVIDIA A100 or higher performance. Knowledge of statistical and predictive modeling concepts and disciplines including AI and ML algorithms. Familiarity with evaluating accuracy or quantifying uncertainty
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Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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), data structures and algorithms, databases, operating systems, networks, computer security, and software engineering; (2) prepare course syllabi and handouts; (3) evaluate and grade student assignments