89 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs at University of Michigan
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field. Must be a current Computer and Information Science graduate student at UM-Dearborn Self-motivation and willingness to learn new applications and the ability to work independently Good communication
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. Your interest in this position and how you learned about it b. The start and end dates during which you would be available to fill this position c. Your familiarity with programming languages (e.g. Stata
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molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu Mission Statement Michigan Medicine improves
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occupants as it relates to occupant injuries, crash protection, and occupant accommodation. Biosciences researchers use state-of-the-art laboratory testing facilities, computer modeling, and data analysis
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teaching and mentoring CHEAR fellows as well as other students and trainees. The CHEAR Center is one of the largest centers in the U.S. that focuses on pediatric health services and health outcomes research
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agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information Why Join
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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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automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab
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behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract