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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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: PhD degree in Electrical Engineering, Computer Science, or related field PhD students who have completed/are completing their thesis are welcome to apply Knowledge and experience in computer vision
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, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
University, University of Queensland, and University of Adelaide) of the Analytics for the Australian Grains Industry (AAGI). The Person We are looking for academics with a PhD (or who will be awarded a PhD
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16 Apr 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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assistance. This is dependent upon the qualification of the applicant and the current needs of the department. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo
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Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least 3 years of relevant research experience in microwave and RF device modelling and design. Strong background in
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: Holders of a Master's degree in Computer Engineering or a related field and enrolled in a PhD programme in Computer Engineering or a related field. [registration is not mandatory during the application
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of a Master's degree in Computer Engineering or a related field and enrolled in a PhD programme in Computer Engineering or a related field. [registration is not mandatory during the application phase
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licensed therapeutic school from preschool through high school. Specialty services include the New Jersey suicide prevention helpline and peer help lines for police, veterans, active military, teachers