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: The Master of Professional Studies in Analytics is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential
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of Artificial intelligence, machine learning, omics data integration, and drug discovery and maintain knowledge of literature related to the areas of research pursued Mentor and train junior team members Foster a
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runs smoothly. MINIMUM QUALIFICATIONS Qualifications: Background in Clean Energy and/or Artificial Intelligence preferred Bachelors Degree, Advanced Degree Preferred. Unwavering attention to detail, with
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on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with expertise
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following areas: HIV and other sexual health risks or co-occurring adversities; mental health; risk and resilience in response to race- or weight-based stigma and discrimination; use of artificial
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levels will be commensurate with experience and qualifications reflecting a record of demonstrated teaching and scholarly excellence. This hiring cycle will focus on Artificial Intelligence (AI
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to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision
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following areas: HIV and other sexual health risks or co-occurring adversities; mental health; risk and resilience in response to race- or weight-based stigma and discrimination; use of artificial
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courses in creative fabrication, focusing on foundational and advanced practices that integrate themes such as sustainability, computational design, and artificial intelligence. The role involves
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of resilient artificial intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in