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for approximately 10-15 hours per week. This is a great opportunity for a student to work with the General Computing team at a cutting-edge science facility and to learn to collaborate with teammates both in-person
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challenge. This project builds on our preliminary work using reinforcement learning to develop control strategies and aims to develop an advanced controller based on reinforcement learning that will optimise
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Student Position Time Status Part-Time Required Education None Required Related Experience None Required License/Registration/Certification None Physical Requirements Sitting at computer work station for
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requires regularly sitting at a computer workstation for extended periods and performing tasks with repetitive motions (such as typing); lifting, pushing, and/or pulling objects weighing up to or over 50
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in education. Experience using AI technologies, technologies with AI components, and their applications in education (e.g., generative AI, natural language processing, machine learning concepts
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for microbiome engineering, such as CRISPR or other gene-editing approaches. •Experience in computational modeling, machine learning, or data science applications in microbiome research. •Previous experience in
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Posting Details Posting Details Job Title FWS Fall 2025, Electrical and Computer Engineering - Engineering Technician Requisition Number DU13761 Department Name 1B531:Federal Work Study Work
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Understanding of research and research methods (e.g., research design, data collection, and analysis). Required License/Registration/Certification N/A Physical Requirements Sitting at a desk/computer; push or
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Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing
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GENERAL PURPOSE AND SCOPE OF POSITION: Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in