17 processor-"https:"-"https:"-"https:"-"IFM" research jobs at University of Michigan
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Engineering, Computer Science, or a related field. Proven experience working with wireless sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision
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highly qualified, self-motivated post- doctoral fellow to join our research program in computer-aided diagnosis and AI (CAD-AI). Responsibilities* The research will involve development of decision support
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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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independently or as a member of a team. Demonstration of understanding of Medical Terminology. Exceptional organizational and computer skills in Microsoft software applications. Ability to work with minimal
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to a positive workplace culture, and ability to consistently demonstrate our school's Core Values . Ability to remain stationary at a computer for up to 2 hours to collect, process, or review data
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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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working in a team-based environment Flexibility in schedule, including weekdays, evenings and weekends, averaging 20 hours per week Excellent oral communication skills Computer skills - word processing
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collection kits Inventory Protocol creation Quality checking Works well in a team environment Required Qualifications* Basic computer skills (email, Word, Excel) High level of attention to detail Good
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis