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Statistics and MS Applied Mathematics programs. These courses are designed to help students apply mathematical, statistical, computational, and data-driven methods to real-world problems. The ideal candidate
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About the Opportunity About the Opportunity: The Department of Mathematics seeks part-time lecturers to teach graduate-level project courses in the MS Statistics and MS Applied Mathematics programs
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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quantitative research methodology and advanced statistical analysis, including experience with large longitudinal or population-level datasets Background in at least two of the following areas: epidemiological
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; Experience with EEG signal processing and study design; Statistical analysis skills for brain analyses; and Strong communication skills and ability to work both within a team and independently. KEY
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Responsibilities Assist with course reserves and interlibrary loan activities as needed. Record and maintain library usage and service statistics, including head counts, reference transactions, information literacy
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and statistical analysis skills for experimental data interpretation. Rigorous scientific documentation practices, including maintenance of detailed laboratory notebooks and research records. Excellent
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area (e.g., computer science, data science, mathematics, statistics, information technology, or related field); 3+ years of experience with querying databases, SQL, and Microsoft Excel; experience developing
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relevant subject area (e.g., computer science, data science, mathematics, statistics, information technology, or related field); 3+ years of experience with querying databases, SQL, and Microsoft Excel
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security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. AI