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modern machine learning models Strong programming skills in Python and experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively
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experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and
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contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and experience building and maintaining research code
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to, the following: Data Analysis and Programming Develop study questions and analytic approach (including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly
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-assisted approaches to biological data curation, including the use of large language models and AI coding assistants to accelerate and enhance curation tasks. Job-Specific Responsibilities: Reading and
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(including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly document model development, structure, logic, coding, testing Engage in research
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learning and information theory, and expertise in at least one of the following areas is preferred: AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in
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collaboration with the Principal Investigators. More specifically, the individual will: ● Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; ● Create data
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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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hours/week) 3. Communicate with families in order to recruit and schedule research participants. 4. Record and/or code data according to project requirements and established protocols. Training will