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teaching. The successful candidate will contribute to the Institute’s research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Key Job Purpose: We are looking for an early-career Analytical Specialist
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methods). Experience with machine learning algorithms or predictive modeling. Experience preparing analytic code, documentation, and supporting materials for publication. Ability to produce clear analytical
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: 283928485 Department Adv-Data & Analytics Category Information Technology Job Type Full-Time Overview The Business Intelligence Analyst is a member of the Data & Analytics team within the department of Data
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‑specific research questions into clearly defined analytic problems, ensuring that study aims, hypotheses, and data structures are appropriately aligned with proposed statistical methods. The research
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). Experience with machine learning algorithms or predictive modeling. Experience preparing analytic code, documentation, and supporting materials for publication. Ability to produce clear analytical
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College of Saint Benedict/Saint John's University | Saint John, Indiana | United States | about 10 hours ago
work environment. To learn more about our benefits, visit mycsbsju.edu/jobs. The Advancement Reporting, Analytics and Operations Lead (ARAO) plays a key role within the College of Saint Benedict's
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The team is in charge of Compute and Data Infrastructure for clinical and research analytics use cases, which include High-Performance Computing (HPC), Artificial Intelligence, (AI), Machine
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analytical findings clearly Experience with advanced forecasting models (e.g., machine learning or deep learning approaches for time series) Familiarity with working on public safety or social science datasets
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for diagnostic utilization, and linear regression for patient satisfaction outcomes. Responsibilities will include applying machine learning and clinical NLP techniques (e.g., gradient boosting, GPT-2 embeddings