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including Business Analytics Fundamentals, Python Programming, Machine Learning, Data Visualization, Business Data and Big Intelligence, Business Statistics for Data Analytics, and Generative AI, aligned with
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the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . We are seeking a senior technical contributor responsible for architecting
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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health, or related field, plus at least two years directly related experience required. Advanced knowledge and proficiency in statistical programming (e.g., R, SAS, Python, Stata) preferred; prior
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modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
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-cell RNA-seq, bulk RNA-seq, proteomics, etc. Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control
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comparable field Very good knowledge of quantitative research methods in medicine or health sciences Demonstrable subject-specific programming skills (e.g., R, Python, etc.) Experience with database usage (e.g
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and resistance. Through close collaboration between laboratory and clinical teams, our work bridges mechanistic immunology with real-world patient outcomes. To learn more about Hosoya Lab - https
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details, please view https://www.ntu.edu.sg/cus We are looking for a Research Associate who will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively in
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arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https