34 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at KU LEUVEN
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power consumption trends or including the energy penalty of machine learning solutions themselves. And the energy efficiency at the transceiver hardware will be put in a broader perspective of
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resistance, via machine learning approaches. This doctoral project also foresees three secondments, each for the duration of three months, during which you will have the opportunity to visit partner
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in a multidisciplinary team of international researchers and show willingness to learn and explore innovative technologies and techniques. You have a creative mindset, enjoy taking initiative, and
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communications systems with experts in wireless communication, signal processing, digital, analog and mm-wave design, and machine learning. This is a unique opportunity to develop innovative, multi-disciplinary
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field. Candidates have experience with numerical modelling and machine design or are eager to educate themselves on these topics. They have obtained their degree with excellent grades, are result-driven
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themes. Experience with (or willingness to learn) tools and methods from AR/VR, interactive installations, or hybrid performance. Ability for critical reflection and academic writing. A collaborative
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equally over KU Leuven Bruges and the Royal Military Academy. Wants to travel within Belgium or abroad to assist in meetings, execute tests or conduct measurements if such appears necessary. Must have the
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to address such challenges. The objective of the project is the development of a new type of intelligent robots that will help operators in the execution of manual tasks while at the same time learning from
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to understand the learning and knowledge dynamics in collaborative approaches for urban sustainability, with a particular focus on the role of Higher Education Institutions (HEIs). Knowledge is central to urban
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: filip.staes@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60572843?hl=en Requirements Research FieldAgricultural sciences » OtherEducation LevelPhD or equivalent Research