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education and research. The applicant is expected to have: A MSc or equivalent degree in Microelectronics, Computer Science, Electrical Engineering, or a similar field; Expertise in your field of study, in
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The project: As wearable technology becomes increasingly ubiquitous in our lives, it is urgent we better understand how we might use the technology and how the technology can enhance our lives
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related disciplines. Skills in numerical tools and programming are desirable. Any experience in engineering
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interdisciplinary collaboration. We are seeking highly motivated doctoral researchers with a M.Sc., or equivalent, in materials science, chemistry, mechanical engineering, physics, mathematics, or electrical
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candidates will have a PhD (or equivalent experience) in Computer Science, electrical engineering, or other related quantitative subject. They will have a strong understanding of computer science (hardware and
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degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field, with a genuine interest in Wearable Technology, Sensor Development, Biomedical Devices, and Data
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is located in Esbjerg. The mission is to
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description