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are excited by this opportunity. Qualifications • PhD degree in Electrical/Mechanical/Computer Engineering or related disciplines. • Substantial teaching experience and evidence of strong impact in higher
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finance and green investment Qualifications Requirements Candidates should have a PhD degree and postdoctoral experience in the following or related disciplines: civil engineering, environmental engineering
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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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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication
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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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Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus. Recruitment is open immediately 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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to the work described herein. Qualifications Job Requirements: • PhD in Biostatistics, Bioinformatics, Computational Biology, or other related fields. • Strong foundation in statistical modeling, machine
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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