128 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Wayne State University in United States
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public or technical service unit in the University Library System. Work activities necessitate proficiency in library methods and procedures and the ability to utilize on-line computer systems and standard
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Investigator, provide scientific and technical leadership for cutting-edge research in translational data science and systems biology. Design and implement machine learning methods for the integrative analysis
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, reporting and survey activities. Experience with wrangling data and cleansing data from multiple sources. Proficiency with associated computer applications and programs (e.g. SQL, Python, R, Excel
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instructional delivery, active learning, and assessment and enhance student success. Essential Functions Assist in management of data and prepare reports to support curriculum and assessment for accreditation and
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are attained. Possess signatory authority for unit. Supervise, interview, select and evaluate performance of a varied number of non-exempt and temporary part-time support staff. Train and instruct on methods
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the phones. Assist students, the public and guests with inquiries related to academic programs, advising and student services offered at the satellite center. Provide general computer-related troubleshooting
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. Analyze and process healthcare data. Design and perform quantitative experiments, including in collaboration with scientific and clinical collaborators. Develop machine-learning analytics/AI. May mentor
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foundational to complex systems modeling and central to modern machine learning. Candidates whose research includes computational components or contributes to the mathematical foundations of artificial
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of Harmonization clinical research regulations. Perform other related duties as assigned. Unique Duties: Physical Requirements: Frequently stand, walk, bend, squat, perform desk-based computer tasks. Occasionally
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in education, instructional technology, and learning management systems to facilitate the creation of standardized, accessible courses aligned with the Mike Ilitch School of Business’s teaching and