52 Statistics "University of Wisconsin Whitewater" uni jobs at Northeastern University in america
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industry sectors. Qualifications: Education & Experience: Advanced degree (MSc/PhD) in Computer Science, Engineering, Applied and Computational Mathematics, Statistics, or a related field, complemented by
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modeling and other relevant statistical tools preferred. A proven understanding of the dynamics of a complex and culturally diverse university community. Strong interpersonal, written and oral
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, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill. • Experience assisting technical staff in
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on-ground in Portland, ME. Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, and
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and deploying an effective program strategy. MINIMUM QUALIFICATIONS Required Qualifications: Education: Master’s degree or PhD in a relevant field (computer science, statistics, mathematics, analytics
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at the Northeastern University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine Learning Combinatorial Optimization and Statistical Inference. Responsibilities include
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, and statistics for public affairs programs at Northeastern University’s new campus in Arlington, Virginia. The expected start date is Fall 2024, although applicants may begin at an earlier date
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simultaneously. Commitment to diversity, equity and inclusion. Knowledge and skills required are typically obtained through a Ph.D degree in a relevant field (computer science, statistics, mathematics, mechanical
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/Clinical Professor (52-week contract) with expertise in statistics and research methodology to begin September 1st, 2024. In addition to teaching undergraduate- and graduate-level courses in statistics and
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expertise in network science, with relevant publications and a track record obtaining extramural funds. Applicants should have a strong understanding of the mathematical, statistical, and theoretical tools