748 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions at Northeastern University in United States
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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About the Opportunity About the Opportunity: Looking for a qualified candidate who would teach on-ground, hybrid, and online graduate-level courses in Insurance, Analytics and Management
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collaborate with academic and industry partners of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start
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candidate will teach on-campus and/or online graduate level courses in the Master of Science in Project Management – Construction Management concentration. This position is located at the Northeastern
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development and different learning styles Must be able to effectively work with students with diverse academic, socioeconomic, cultural, linguistic and ethnic backgrounds Key Responsibilities Recruitment
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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. Excellent written and verbal communication skills. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Teams, and SharePoint). Proven ability to learn new technological resources as
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for developing new pages and making updates to high impact websites like http://innovate-us.org , http://rebootdemocracy.ai , http://poweratwork.us . You are a dedicated professional with demonstrated project
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learning with rigorous analytical training and interdisciplinarity. The search committee is especially interested in qualified candidates who can contribute to the excellence of the academic community
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you have taken. Describe your teaching philosophy, how you design and deliver courses (as applicable), in particular what steps you take to create a learning environment where all students thrive