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, Electrical Engineering, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively
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, applied mathematics, electrical engineering, and computer science. Desirable skills/interests: Signal processing, machine learning, applied optimisation, wireless network management, and interest in robotic
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independently and in a goal-oriented manner. The ideal candidate should have an MSc or equivalent in a field connected to computational sciences (i.e. physics, mathematics, computer science, engineering
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: The applicant must have a PhD degree in atmospheric science or simular. Applicant must have work life experience of programming in a linux environment, preferably with FORTRAN. Oral and written proficiency in
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2 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Engineering Cybernetics Research Field Computer science » Cybernetics
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, including but not limited to computer science, data science, engineering or mathematics, who are passionate about machine learning and AI research. Strong analytical thinking, problem-solving skills, and the
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! Faculty Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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and profile: Educational background: You should have a Master’s degree in mathematics or AI/computer science (with a strong mathematical component, including writing formal mathematical proofs), to be