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of interest include machine learning, LLMs and SLMs, natural language processing, computer vision, theory, and transparent and explainable AI models. Human Centered AI: areas of interest include sensing and
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emphasis 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
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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computing, machine learning/AI, eco-scale application engineering, cloud computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques
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About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
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related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, advanced manufacturing, as well as quantum materials and sensing. KRI has and is
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and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, advanced manufacturing, as well as quantum materials and sensing. KRI has and is expanding
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teaching and other learning objectives: (4) Experiential learning and stakeholder support; and (5) Design and implementation of recruitment strategies for the academic programs, working with Northeastern
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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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