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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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We are looking for a highly motivated and skilled PhD student with expertise in computational hydrodynamics and structural analysis, and a genuine interest in conducting research on hydrofoil craft
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are looking for: To qualify as a PhD student, you must have a Master's degree in a relevant field to theory of machine learning and AI. This includes, but is not limited to, computer science, electrical
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computer science, computer engineering, electrical engineering, or another relevant field. Equivalent requirements apply to individuals with an education earned outside of Sweden, for example a 4-year bachelor's
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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-cycle studies and conduct research in Energy and Environmental Engineering, aligned with MDU’s established research areas. The research project focuses on: flexibility and resilience in electric power
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, Computer Science, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Electrical Engineering or Applied Mathematics. Alternatively, you have gained
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practical and impactful outcomes. This PhD project is a collaboration between the Department of Building Technology and the Department of Forestry and Wood Technology within which the Competitive Timber
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that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and