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fingerprint from the response of stimulating the electronic device with a well-designed signal. In this project, we focus on high-frequency (microwave/mmwave) excitations that not only cause an electrical
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Architecture Search (NAS) that can automatically design efficient deep learning models optimized for specific embedded hardware platforms. These models will be deployed in resource-constrained, standalone
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. This approach offers optimal timing and a comprehensive design to achieve its intended goals, namely improved functional recovery following TJA, enhanced general health, and a reduced socio-economic burden
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of landscape architecture, urbanism and design, an international, competitive research programme, to pursue excellent scientific results at an international level and to support and promote national and
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system, and other relevant mechanisms for future fusion power plants. Combining these advanced simulation techniques with design optimisation, control, data-assimilation, uncertainty quantification, and
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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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de novo compound design. Is committed to providing relevant bioinformatic guidance, coaching and/or training of researchers, e.g. PhD students and postdocs, from the different research groups
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to the educational project of the faculties and university by supervising Master theses and as a promoter of doctoral students and to curriculum innovation. You will develop your education in accordance with KU
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. Sem Careel, mail: sem.careel@kuleuven.be or Prof. dr. Frank Verbruggen, mail: frank.verbruggen@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60649767?hl=en