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one of the following: Econometric methods for causal inference; Data science and machine learning; Survey design and analysis; Qualitative analysis skills specialized in policy and geopolitics A good
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of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches (e.g., machine learning, Bayesian statistics) and
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scientific machine learning, and promote interdisciplinary collaboration among the disciplines of mathematics, computer science, and engineering. Candidates with strong academic portfolios are encouraged
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possess a collaborative and entrepreneurial spirit, and be adept at applying statistical, data science and or/machine learning methods with a critical perspective in the behavioral and community health
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interventions can support mathematics learning and well-being. Requirements: A Masters or equivalent degree in education, psychology, neuroscience, learning environments or a related field. (Candidates with a PhD
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Foundations & Core (Statistical) Machine Learning; Data Analytics, Engineering, Protection; and Database Systems and Principles Responsibilities: Research : The appointee is responsible for conducting high
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technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to transfer learning, explainable machine
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social
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) in OM or a closely related field is required. While the positions are open for any candidate with research interests in broad domains of OM, those specializing in analytics (AI, machine learning
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. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements A PhD degree in computer or