164 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at University of Louisville in United States
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and laboratory analysis following clearly defined procedures. 75% of the time will be spent in the laboratory performing biomedical research experiments, analyzing data, preparing abstract and poster
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this position will participate in the design, execution, and control of laboratory research studies and develop protocols and procedures. The position requires strong computer skills, attention to detail, strong
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on the responsible and efficient use of Google Workspace and AI tools, including best practices, data management, and security protocols. Develop and maintain documentation, training resources, and
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direction and oversight of the EAT Lab digital treatment research team serving as a liaison between the clinical and data science teams to translate evidence-based psychological interventions into accessible
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for the comprehensive management, coordination, and data oversight of undergraduate and graduate academic programs within the School of Nursing. This position provides high-level programmatic, administrative, and
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supporting entities / laboratories to ensure prompt sample preparation and analysis on a regular weekly basis. Specific tasks include sample preparation and direct laboratory and data analysis to detect
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organization, assisting with data collection in the lab, online, and in the clinic, assisting with grant applications, entering and coding data, supervising undergraduate and graduate assistants, maintaining
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strategic oversight of all academic records, registration, enrollment operations, and student data systems at the University of Louisville. As the institution's official custodian of student records and
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on the basis of merit and without unlawful discrimination on the basis of race, sex, age, color, national origin, ethnicity, creed, religion, disability, genetic information, sexual orientation, gender, gender
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without unlawful discrimination on the basis of race, sex, age, color, national origin, ethnicity, creed, religion, disability, genetic information, sexual orientation, gender, gender identity or expression