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Assistant will help organize participant recruitment and participate in data collection and analysis. We study early childhood cognitive development in the domains of spatial, mathematical, and logical
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theoretical scientists. Applicants must have a Bacherlor's or Master's degree in physics/mathematics/chemistry/data science or a related field of experience. Strong background in mathematical modelling
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. This Collaborative Research in Computational Neuroscience (CRCNS) funded position will focus on decision making, linking computational models and mathematical analysis to human and rodent data. The successful
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Carnegie Mellon University’s Robotics Institute is searching for a Research Assistant to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. We are seeking creative and energetic research assistant (RA) that will be engaged...
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: You will collaborate with your colleagues in the Trust Lab who have HCI-related backgrounds; with AI Division researchers who have expertise in machine learning, engineering, mathematics, product
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, mathematics, product management, and other subjects; as well as with colleagues across the SEI, CMU, and our government customer organizations. You will design and facilitate working sessions and workshops with
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: You will collaborate with your colleagues in the Trust Lab who have HCI-related backgrounds; with AI Division researchers who have expertise in machine learning, engineering, mathematics, product
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, mathematics, product management, and other subjects; as well as with colleagues across the SEI, CMU, and our government customer organizations. You will design and facilitate working sessions and workshops with
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. Developing software in Python and other modern programming languages Mathematical programming, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information
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. Developing software in Python and other modern programming languages Mathematical programming, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information