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community extends far beyond the classroom, encompassing thousands of students, faculty, staff, and more than 70,000 alumni and supporters worldwide, all working together to build a brighter future. As a
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their studies and experience as they join the scientific community. Participants interact daily with assigned mentors who guide research and project activities during the internship, while they become integral
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at top/A* ML venues (conferences and journals) are highly preferred. The candidates are also expected to have strong organization, problem-solving, analytical, communication and writing skills as
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, or related resources, is also desirable. Candidates must be independent self-starters, have a strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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of the following areas: Computer Science, Computer Science and Technology, or other disciplines with strong quantitative background. Proficiency in at least one programming language, such as R, C, Python or MATLAB