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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Jan-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with
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. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning solutions and applying
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are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Khoury-College-of-Computer-Sciences-SPHERE-Research
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teaching interests that would further strengthen an application include machine learning, computational economics, or data-intensive methods, particularly where these areas complement macroeconomic analysis
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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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Responsibilities: Teach selected graduate courses within the multidisciplinary masters degree programs. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities
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/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) in Miami with general areas of focus in Application Engineering & Development, Artificial Intelligence/Machine Learning platforms
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-on exposure to experimental skills in gene editing, gene augmentation, CRISPR technologies, immunotherapy, and CAR-T cell therapy. Teaching responsibilities include: Reviewing and learning key teaching points
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Feb-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences