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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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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and
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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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that you are expected to finish on time and send the most recent draft of your thesis. You may obtain further information from the upcoming supervisor Associate Professor Massimo Pizzol,+45 9940 8369
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://www.isu.aau.dk/ and https://lifeindenmark.borger.dk/ You may obtain further information from Associate Professor Peter Fojan, Department of Material and Production, Phone: 99407481, Email: fp@mp.aau.dk
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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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obtained by contacting Associate Professor Suzette Sørensen,suzette.soerensen@rn.dk +45 40 23 43 78. PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a
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be enrolled in Aalborg University Business School’s Economics, Business, and Management PhD program. The position is part of the Carlsberg Foundation-funded Green Transition Policy Centre(GreenTraC
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contact professor Jens Scherpe, phone: 9940 9879, email:jscherpe@law.aau.dk or program leader Lene Wacher Lentz, phone: 6169 9661, email:lwle@law.aau.dk . For general information about the application