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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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degree; strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience
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industry and academia together to drive pre-competitive, fundamental research in polymers. We welcome applicants with interests in polymer physics, materials processing and characterisation, machine learning
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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Business School Application deadline: 15 November 2026 at 23:59 CET Expected start: 1 January 2027, or upon agreement About REGULAIRE The scholarship is part of REGULAIRE (Regulatory Learning
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mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI, Digital twins or physics-based modeling, wide-bandgap semiconductor technologies. Excellent written and spoken English
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the AIM-PACE project, which aims at developing a new generation of safe-and-sustainable-by-design, bio-based and circular plastics by combining AI, microbial technology, computer modelling, and polymer
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engineering. Together, we learn by making, creating, and innovating, addressing challenges in a solution-oriented way. Quality, connection and inclusivity are the foundation of our culture. In our open
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, UTS, UWA, Deakin, and Swinburne), and industry leaders such as Ford Australia, Seeing Machines, RACQ, The Department of Transport and Main Roads, National Transport Commission, Transport For NSW, and
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machines.