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of academic administrative experience required or Master’s degree plus 3 years of career coaching, workforce development and partnership engagement. Comprehensive knowledge of career development theories and
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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transformative AI projects. MINIMUM QUALFICIATIONS Expert knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with
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, and interface with users. Work with students to translate research grade code to deployable systems. Lead Northeastern's AI-CARING deployment team. Liaison with our partner institution on our needs and
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knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with containerization (Docker) and orchestration (Kubernetes
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networking and IoT infrastructure, and enhance security and privacy. Foundations of AI: areas of interest include machine learning, LLMs and SLMs, natural language processing, computer vision, theory, and
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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 . This position will report directly to
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GRAMS (Gamma-Ray and AntiMatter Survey) projects. The Senior Research Scientist will perform basic or applied research on critical or difficult problems involving the development of new theories
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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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, primarily using existing theories and methods. Assists the supervisor in the interpretation and publication of results and grants. Maintains the laboratory and may exercise functional supervision over