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, employing state-of-the-art statistical techniques, managing and analyzing large datasets, and applying machine learning algorithms and large language models to derive meaningful insights. Interactions with
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of archival and library management systems, and proficiency with computer technology (e.g., word processing, spreadsheets, databases, XML). Ability to manage multiple priorities and work productively both
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On-Call Program providing the need exists and the basic requirements and qualifications for participation are met. Must have a valid Massachusetts driver’s license. Must have general computer skills
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degree in Statistics/Economics/Applied Math/Computer Science or related fields Knowledge of regression analysis, statistical inference, familiarity with machine learning/prediction tools Experience with
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instructional support to teaching faculty, including developing or identifying course-related content Co-teach the MMSc-BMI biomedical informatics research skills courses BMI 717 and BMI 718 Contribute
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. Technology Skills Required: Must have computer skills including word-processing, electronic mail, database, and spreadsheet. Required to utilize management information systems and asset/work management systems
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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crates, opening and closing crates and exhibition cases. Will include considerable work at a computer, entering data related to the collections move. Working Conditions Primarily museum collections storage
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with high standards for customer care, occupant experience, and quality of work. Demonstrated proficiency using various computer software systems and applications such as Microsoft Office (Word, Excel
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of outstanding academic achievement. Indication of independent research experience and/or applied experience. Methodological interests in econometrics, statistics, machine learning, industrial