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health, and artificial intelligence; investigate AI applications for personalized music therapy and brain health interventions; and explore machine learning approaches to understanding musical cognition
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Associate or Full Professor only: Evidence of teaching undergraduate and/or graduate courses in statistics, analytics, data science, machine learning, AI, or closely related field. Candidates able to teach
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: BSC seeking a Part-Time instructor to teach either networking or security courses Requirements: Qualified candidate will possess a Master’s degree in a technology or related computer information degree
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there is a pre-school on campus. Additional information about the Department is available at https://www.binghamton.edu/psychology/ . Requirements: Required Qualifications: PhD in Psychology
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
. The salary range for this position is $87,900 - $187,700 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu
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spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed—ideally a creative use
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. Minimum Knowledge, Skills and Abilities Required: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Ability to work
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
Posting Details Posting Details Position Title Assistant or Associate Professor of Piano External Link to Posting https://jobs.uncw.edu/postings/38657 College College of Humanities, Social Sciences
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compliance, if applicable). Does this position have supervisory responsibilities? No Preferred Education/Experience Bachelor’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering
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biology. GBI researchers will also be supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine learning