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/training) in Applied Mathematics, Computer Science, Computational Biology, or related field and a minimum of 1 year of experience with basic coding skills in Python and pyTorch or an equivalent combination
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. The department has strong ties with other departments in the UC Berkeley College of Engineering and enjoys close relationships with the departments of Statistics, Mathematics, and Economics, as well as with
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rigorous and integrated training for students interested in undertaking research at the interface of computer science, mathematics, statistics, biology, and biomedicine to address the fundamental challenges
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policies and procedures (Required) Skill in performing mathematical computations to correctly perform rental prorations (Required) Experience and skill in auditing calculations and documentation to ensure
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technological skills, scientific principles, mathematics, and project management to support the Accelerator. Key responsibilities include the electronic design, documentation, procurement, fabrication
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against those budgets. (Required) Analytical skills to organize technical data and information, draw appropriate conclusions and recommend solutions, as well as in mathematical computations required
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is easy to understand. (Required) Ability to honor confidentiality and handle confidential/sensitive matters with discretion and tact. (Required) Mathematical skills sufficient to perform basic
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Department Summary The group manages and coordinates support for physics and astronomy instructional labs and courses. Position Summary The Department of Physics & Astronomy is in search of an Instructional Labs Technician to support our undergraduate teaching laboratories and associated...
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knowledge in biology, mathematics, chemistry, hematology, coagulation, urinalysis, immunology, molecular biology, virology, and skills in other clinical laboratory areas acquired through the CLS/MLS program
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: Introduction to Programming in R STATISTICS 33B: Introduction to Advanced R STATISTICS 88: Probability and Mathematical Statistics in Data Science STATISTICS C100: Principles and Techniques of Data Science