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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | about 2 months 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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according to specifications using appropriate programming languages, tools, development methodologies, and adhering to best practices, while communicating progress, and delivering within scheduled timelines 3
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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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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214241 - Computer Science Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job Summary: The
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develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets
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schedulers such as Slurm. Managing competing priorities across diverse stakeholders, demonstrating excellent interpersonal, oral, and written communication skills. A combination of education and relevant
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), or design/adapt AI approaches to solve previously intractable questions in a
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that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), or design/adapt AI approaches to solve previously intractable
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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