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enrollment financial modeling and revenue forecasting in higher education settings Technical Competencies Advanced proficiency in Python, SQL, Excel, and statistical analysis software such as R Expert
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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/C++, Fortran, and/or Python Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a
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preferred. Interest or expertise in single-cell and limited sample proteomics is highly desirable. Knowledge of R or Python coding would be desirable but not necessary. Applicants must include the following
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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analytical teams and complex projects Demonstrated expertise in enrollment financial modeling and revenue forecasting in higher education settings Technical Competencies Advanced proficiency in Python, SQL
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Demonstrated expertise of Microsoft business programs (e.g., Outlook, Excel, Word, Power Point) Demonstrated experience utilizing data warehouse, data analytics, and reporting tools (e.g., Cognos, SQL, R, Python
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reporting tools (e.g., Cognos, SQL, R, Python, Tableau, Power BI). KEY RESPONSIILITIES & ACCOUNTABILITIES Project Management Lead and facilitate cross-functional category projects that comply with approved
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. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data
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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended