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knowledge of programming, including Linux, Python, and R. Candidates having background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged. Excellent communication and writing
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, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python, R, and SQL) to compile, clean, organize, and maintain
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minimum pay as determined by rank and/or step at appointment. See the following table(s) for the salary scale(s) for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy
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foundational and advanced Artificial Intelligence topics such as Python programming, data analysis, machine learning, artificial intelligence tools and frameworks, neural networks, and ethical considerations in
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
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tools including strong expertise in the analysis of large data sets using Microsoft Excel required. • Familiarity with R or Python as data analysis/manipulation tools is preferred. • Experience using
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data analysis tools (Python, R, or similar) for processing high-throughput sequencing or variant library data Professional Attributes * Strong record of scientific rigor, attention to detail, and
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clusters. 2-5 years. Experience with the installation, maintenance, trouble shooting of UNIX systems in a professional capacity required. 2-5 years. Experience with Python, bash scripting, and distributed
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). Proficient in one or more scripting languages (e.g., PowerShell, Python). Proficient in server administration (e.g., Windows Server, Red Hat Enterprise Linux (RHEL). Ability to provide excellent customer