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privacy, machine learning, and applied cryptography. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The John Olson Advanced Manufacturing Center provides hands-on, interdisciplinary learning opportunities in advanced
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Intelligence, Engineering, or a related discipline. Relevant professional certification(s) in Artificial Intelligence (AI), Generative AI, Machine Learning, Data Analytics, Cloud Computing, IT Infrastructure
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advanced machine learning models, including multimodal perception and foundation model based systems, within distributed data, training, and inference pipelines. Perform hands-on research engineering at
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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to sitting or standing for long periods of time. Often viewing spreadsheets on computer screens. Motor skills for typing Shift Primarily Monday through Friday 8:00am-5:00pm. May require nights and/or weekends
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the intersection of control theory and scientific machine learning? Join us in developing the
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for computational mathematics. This includes but is not limited to: mathematical foundations of AI and machine learning, inverse problems, optimization, numerical analysis. Qualifications A Ph.D. in mathematics is
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public health. In this role, you will develop and evaluate novel AI and machine learning methods using large-scale multimodal datasets, contributing to epidemiology-informed foundation models, predictive