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range of scientific audiences. Eagerness to learn new techniques and to stay up to date with the current literature to inform experimental design. Expertise in managing collaborations and working in teams
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positions based on performance and funding. Qualifications: A Ph.D. (or equivalent) in electrical engineering, biomedical engineering, computer science, medical physics, or a related field is required
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, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data mining, statistical analysis, and computational modeling; Experience with programming
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