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of Electronic Systems, and by Professor Stefania Serafin, Head of Multisensory Experience Laboratory, Dept of Architecture, Design and Media Technology(Copenhagen campus). The PhD project is in very close
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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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wide range of mathematical disciplines and has three study programmes: mathematics (including a specialization in statistics at the master level), mathematical economics, and mathematics-technology
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the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD
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to: Develop innovative decision-making strategies that seamlessly integrate operational research techniques and machine learning algorithms. Engineer solution algorithms and systems that enhance the robustness
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qualifications: M.Sc. degree in electrical engineering, communications engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal
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close collaborations with clinical departments. We work with numerous national and international partners, and our team is multidisciplinary, consisting of molecular biologists, engineers, biomedicine
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community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
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physics/nanotechnology/materials science, or a related field. Background in optics, semiconductor devices, or thermal engineering is a plus Hands on experience on various nanofabrication technologies, e.g