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researcher will formulate composite photocurable resins and fabricate parts using a DLP 3D printing process. Parts will be tested and analyzed with a universal testing machine. Responsibilities Learn how
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machine learning methodologies, develop algorithms for health monitoring and patient clinical outcome prediction, and address ethical considerations. The role also requires attending weekly meetings, report
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software. Willingness to work as a supportive, cooperative member of an interdisciplinary team. Theoretical and practical experience and strong willingness to learn programming. Ability to work independently
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with human-computer interaction, prompt design, experimental testing, or research methods is a plus. Desired Qualifications An interest in the social implications of AI and research ethics is highly
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Required Qualifications Senior-standing undergraduate student Computer Engineering major Desired Qualifications Has successfully completed CENG 366 Special Instructions to Applicants Budget Information Is
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network analysis tools (e.g., NetworkX or equivalent) Familiarity with permutation-based statistical methods (MR-QAP preferred) Interest in human-computer interaction Special Instructions to Applicants
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, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic
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engineering, computer science, physics, and/or computer engineering. Availability to work consistently for 10+ hours per week. Special Instructions to Applicants Student employees in this position are required
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electrical engineering, computer science, physics, and/or computer engineering. Availability to work consistently for 10+ hours per week. Special Instructions to Applicants Student employees in this position
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courses in general chemistry Strong analytical and organizational skills Ability to learn/operate laboratory equipment and maintain a safe working environment. Writing skills to summarize research findings