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Field
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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future industrial applications in the aerospace sector. Job requirements You have: A Master’s degree (or are close to completing one) in Applied Mathematics, Computer Science, Aerospace Engineering
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on research outcomes. Specific Requirements Completion of a Master's degree in Computer Science, Mathematics, Data Engineering, Law, or related fields. Enrollment in a doctoral school. Proficiency in English
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on research outcomes. Specific Requirements Completion of a Master's degree in Computer Science, Mathematics, Data Engineering, Law, or related fields. Enrollment in a doctoral school. Proficiency in English
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on research outcomes. Specific Requirements Completion of a Master's degree in Computer Science, Mathematics, Data Engineering, Law, or related fields. Enrollment in a doctoral school. Proficiency in English
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will be employed and tested on actual measurement data as a benchmark. The project will involve mathematical modeling, construction of numerical methods, coding, testing, numerical simulations, and
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of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
background in state-space modeling and control theory. Strong programming skills in C++, Python and/or MATLAB. Interest in both theoretical research and experimental validation. Good written and spoken English
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also interested in environmental data, AI-powered analytics, applied mathematics and physics? Then this job is for you! The goal is to complete a doctoral education while working on a collaborative
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environmental and societal sustainability. The position is linked to Work Package 4: Digital twin asset management. The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences