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Researcher will be based out of either the Boston, MA or Portland, ME campus and conduct applied research, prepare work for submission to journal/conference publications, contribute to extramural funding
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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the residency curriculum and developed in accordance to the Description of Specialty Practice provided by the American Physical Therapy Association. Clinical Practice consists of patient/family orientation
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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(and other geophysical techniques) forward and inversion modeling. Write professional-level codes/algorithms. Publish quality research results in peer-reviewed publications and presentations. Participate
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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Medicine, Beckman Research Institute. The Postdoctoral Fellow will be working in a highly collaborative group on a variety of multidisciplinary research projects with a common theme of developing and
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, prediction, and decision support and automation. Additional duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision