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) recordings, based on machine learning and signal processing methods. The work involves machine learning for image processing, processing and decoding of EEG signals, and EEG data collection. - You should
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the sensitive relation between the value of these parameters and the elution time of the individual sample compounds. While the current human-reasoning and model-based approaches often fail due
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. You develop teaching methods in line with the KU Leuven approach of research-based education with an emphasis on activating students (see http://www.kuleuven.be/english/education/education-at-ku-leuven
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with the KU Leuven approach of research-based education with an emphasis on activating students (see http://www.kuleuven.be/english/education/education-at-ku-leuven ). You take advantage
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embedded AI-based algorithms. The applicant should: have a Master’s degree in Electrical Engineering, be ranked within the top 10% of their class in MSc and BSc, and have exceptional grades, have a strong
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/university through the supervision of master theses and as a promoter of PhD students. Your teaching will be in accordance with the KU Leuven’s vision on activating and research-based education and will make
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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop
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will carry out a PhD project based on the development of potential treatment option for dolichol synthesis defects, a type of rare glycosylation disorder (see review: 40902550). Currently, there is no
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. Candidacy is possible until May 15 2026 via the online application tool. After a first selection based on the applicants’ documents, the candidates will be invited for an interview held on June 5 2026 (in
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brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and