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established or emerging research record in statistical learning or computational statistics. The successful candidate will be expected to teach undergraduate and graduate courses in Statistics, develop
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Qualifications Minimum Qualifications: Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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growth and intellectual exploration. The department values faculty with broad interests in mathematics or statistics; potential for implementing innovative, inclusive, and equitable teaching methods in a
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. QualificationsEmpty heading Education: Bachelor?s degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required Masters in
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in service at the departmental, college, and university levels. This position may include instruction in both introductory and advanced courses. The ability to teach courses in statistics and research
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California State University, Northridge | Northridge, California | United States | about 5 hours ago
Qualifications: Use of advanced statistical and/or innovative methodologies that inform the applicant’s research and teaching. Professional development and/or service activities that enhance community and advance
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
and to contribute to collaborative papers and grant proposals. Responsibilities • Develop, implement, and evaluate new statistical and machine learning methods aligned with the two themes above. • Lead
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school ofMathematics or Applied Mathematics and Statistics. Develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes
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The Medical Information Management Department is responsible for the maintenance, availability, and integrity of patient information to support patient care, teaching, research, health system, connect