165 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Northeastern University
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faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry
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About the Opportunity JOB SUMMARY The Learning and Brain Development Lab (PI: Juliet Y. Davidow) at Northeastern University in Boston, MA, USA (https://lbdlpsych.sites.northeastern.edu/) is excited
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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necessary Preferred Qualifications: Previous Police experience highly preferred Bachelor's degree preferred Military veterans encouraged to apply Selection Process: The NUPD conducts a rolling application
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to participate in building machine learning models, co-author publications, and contribute to grant proposals. Tentative start date: January 2024 for the Spring 2024 semester with possibilities of renewal
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believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Data Science and Machine Learning
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security guard for campus safety. Administrative and clerical tasks: Co-manages shared email account. Receives/sends mail and packages. Supports students or employees learning how to access campus or digital