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Field
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to student learning, research, health care, and service is seeking applicants for a research postdoctoral fellow position in the Department of Pediatrics, Division of Newborn Medicine. The candidate will join
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field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming
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experience. Experience with one or more of the following: genetic cloning, protein expression, purification and characterization, mass spectrometry, NMR. Experience with and/or demonstrated ability to learn
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abilities and values to serve our regional, national, international, and military communities, and create a nurturing and learning environment for students, faculty, and staff. Primary Purpose of the Position
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candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
with additional knowledge of Stata or Python. Knowledge of machine learning, geospatial analysis, or spatial statistics are a plus. Duties and Responsibilities A Postdoctoral Fellow (""postdoc"") is a
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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applying causal inference, spatial econometric modeling, and machine learning techniques to questions of regional economic development, urban sustainability, or entrepreneurship ecosystems. Proficiency in
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varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how