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Acevedo Muñoz, tel.: +32 14 33 32 61, mail: beatriz.acevedo.munoz@sckcen.be Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60607337?hl=en Requirements Research
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Leinders, tel.: +32 14 33 31 40, mail: gregory.leinders@sckcen.beSCK CEN Co-mentor: Dr. Frédéric Jutier, tel.: +32 14 33 32 24, mail: frederic.jutier@sckcen.be Where to apply Website https
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Kulak (https://kulak.kuleuven.be/ ), where you demonstrate active engagement in interdisciplinary collaboration, both internationally and with colleagues on campus, within the faculty, and/or within
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the requirements here: https://www.kuleuven.be/english/study/apply/language-requirements/engli… ). Applicants can be of any nationality. We encourage applicants who have African language skills and
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: https://www.kuleuven.be/english/study/apply/language-requirements/engli… ). Applicants can be of any nationality. We encourage applicants who have African language skills and relevant experience outside
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processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint
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. Pieter Rauwoens, mail:pieter.rauwoens@kuleuven.be or prof. Sandra Soares-Frazao, mail:sandra.soares-frazao@uclouvain.be Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60598708?hl=en
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(PSI), within the research group EAVISE. The project explores audio representation learning for low-resource settings. Recent advances in machine learning for audio have focused on learning
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wireless communication, signal processing, digital, analog and mm-wave design, and machine learning. This is a unique opportunity to develop innovative, multi-disciplinary technology and shape future
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bipedal robot that will learn to walk on soft and natural ground, such as sand and gravel. The controller design will include knowledge of the type of ground the robot walks over, and how the substrate