477 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Virginia Tech
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demonstrated ability to mentor and lead a team, fostering a learning and growth environment. • Exceptional customer service skills, with a passion for making a positive impact on the resident experience
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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Job Description Provide support to Professional Development and Experiential Learning Programs by collecting, disseminating, and providing information and advice to students, faculty, staff
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in financial operations. Reasons to apply: • Tuition benefits to support your development and learning • Engagement in personal, professional, and community outreach activities • Formal employee award
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commitment to interdisciplinary research and instruction, and an ability to teach subjects germane to the field and develop courses in emerging areas. Preferred Qualifications Registration as a Professional
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experience with computer tools such as MS Word, Excel, Access and Outlook. Demonstrated ability to work well as part of a team in a fast-paced environment. Ability to learn new technical and operational
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, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures
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optimize LIFU as a new human brain mapping tool and for translation to clinical therapies in addiction, mental health and pain. Knowledge in basic computer skills, record keeping and experience with human
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will also oversee budget and financial operations, space management, and communications. Over time, the portfolio may expand to include additional functions such as learning & development and recruitment
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-aided drug design and application of data science in biochemistry research. The Department is highly collaborative and has research strengths in the areas of infectious disease, microbial physiology