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, Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or related fields) with excellent academic results.• Genuine interest in psychiatry, neuroscience, and clinical research, with motivation
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Bioscience Engineering, Physics, Mechanical/Electrical Engineering, Applied Biology, Agricultural Engineering, Biomedical Engineering or a related field. Experience with spectroscopy, plant physiology, data
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of EnergyVille (http://www.energyville.be/en ). The location for this position will be Leuven (Department of Mechanical Engineering).The successful candidate will receive: Doctoral scholarship, renewable up
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(https://www.kuleuven.be/personeel/jobsite/academisch-personeel/academic… ) We will welcome you to a stimulating research environment where you will receive full support to take charge of your professional
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the challenges related to the flexible technology. You have a master's degree in electrical engineering or engineering technology. You have good basic knowledge and hands-on experience in digital electronics and
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) systems (e.g., USRP, NI, LimeSDR, or similar) is a plus. In particular, the applicant should have a master’s degree in Electrical Engineering or Telecommunication Engineering, be ranked within the top 10
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employed for the auralization of an existing electric vehicle. The PhD is supervised by prof. Dionysios Panagiotopoulos (https://www.kuleuven.be/wieiswie/nl/person/00120151 ) from the KU Leuven LMSD division
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behaviour. Your ideal background: EU Master Degree in Data Science, Bioscience Engineering, Computer Science or a closely related field Demonstrated understanding of unsupervised machine learning (clustering