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of health technologies and interactive visualization and dashboards is a plus. Work Schedule Monday – Friday 8:00 a.m. – 4:30 p.m. May need to work/travel beyond normal work schedule Posting Date 07/30/2025
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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | about 2 hours ago
healthcare program this is an excellent opportunity for you. Are looking for a hybrid schedule, state benefits, and meaningful work? Come join our team. GENERAL SUMMARY OF POSITION: Under the general
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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involves analyzing data obtained by cosmological surveys such as DESI, Euclid, Roman and others, developing new methods and algorithms, supporting other group members in particular graduate students, and
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(Required) Experience creating and utilizing statistical algorithms and conducting power calculations to determine sample size to answer complex research questions. (Required) Demonstrated experience working
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responsibilities, this role will occasionally write University news stories, assist with scheduling and distributing them across platforms, and upload content to the University website. (20% of time) This position
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and you will have access to the following: A hybrid work schedule Full medical, dental, vision coverage Paid time off 9 Federally Observed Paid Holidays 3 Personal Days Tuition remission - eligible
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portfolio in AI4Science. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied mathematics, data
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research in PPPL-relevant AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied