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undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and probability theory are particularly encouraged to apply. The department expects to support
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. Work in our group focuses on developing innovative image analysis, machine learning, artificial intelligence and data science methodologies for multimodality imaging, and also on incorporating
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. The coordinator organizes and supports the various undergraduate and graduate student activities and academic functions, while supporting BS, MS, and PhD academic and student affairs tasks. They assist
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Qualifications Undergraduate degree, graduate student (Master or PhD program) in computer science, with intermediate coding experience in Python. Coding skills as above. Experience with deep learning projects
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for their stakeholders and society at large through our MBA, MS, PhD, and Executive Education programs. We are equally committed to cultivating new scholars and teachers and to creating and disseminating pathbreaking
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, MS, PhD, and Executive Education programs. We are equally committed to cultivating new scholars and teachers and to creating and disseminating pathbreaking knowledge, concepts, and tools that advance
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cities. A lab within the Institute is seeking an Associate Research Scientist who will implement original machine learning methods for collective inference of the truth of propositions from crowd
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of the relationships between hypertension, its treatment, and ADRD risk among U.S. veterans, (2) statin use and ADRD risk and burden with quasi-experimental approach and machine learning methods, as well as (3) ongoing
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on the use of Machine Learning algorithms for rapid damage assessment. Research topics could focus on: the definition and use of novel damage sensitive features, physics informed machine learning, transfer
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electromechanical devices, or the ability to acquire such skills rapidly on the job. Preferred Qualifications MS in biomedical engineering or related engineering discipline. PhD additionally preferred. Some teaching