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in relation to the research program "Sustainable Power Electronics and Electrification (SPELL)" and the research assistant will be positioned in the section for Power Electronics Systems and Materials
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developing the skillset on underwater perception technologies within topics such as: Qualifications: A master's degree in computer vision, computer science, robotics, electrical engineering, or a related field
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-on experience with using LCA methodologies, computational approaches, and databases. Familiarity with the consequential LCA modelling framework. Specifically, proven capacity in the development and use of dynamic
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projects is required. Qualifications The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial engineering, computer
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, and material separation. Accordingly, the candidate is required to have an Engineering degree on master’s level within manufacturing engineering, automation, or computer science. Specifically, we look
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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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of interest include simulation methods, computational modeling, optimization techniques, hybrid testing and digital twins. Furthermore, the position aims at incorporating machine learning to drive innovation in
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. Involvement in assessment and committee work at Aalborg University. Dissemination of your research to the outside world. Your competences Candidates should meet the following criteria: A PhD in Computer
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University, which has conducted research within computer vision and machine learning for more than 20 years. The lab is headed by Professor Thomas Moeslund and currently comprises approximately 25 scientific
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