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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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the energy market) and two companies: The Binding Energy and INEOS-INOVYN. FLEX-SMR will develop cost-effective, integrated solutions to provide flexible electricity and steam supply for chemical
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into conversation with parallel research in Flanders, the project aims to develop a more plural and globally informed understanding of dialogue, highlighting how different religious, cultural, and historical
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within university laboratories, teaching farms, and cooperative networks, solutions remain locally grounded and institutionally anchored. Collaboration between universities, cooperatives, industry, and
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education with an emphasis on activating students (see http://www.kuleuven.be/english/education/education-at-ku-leuven ). You take advantage of the opportunities offered by the faculty and the university
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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 of the opportunities offered by
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work closely with and support the leadership teams at both Centers. Key tasks & responsibilities 1. Communications support Develop and execute a national and international strategic communication plan
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: •Develop a physics-based baseline time domain model for vibro-acoustic components using FEM/BEM and reduced-order modelling techniques. •Fuse sparse microphone or accelerometer data with model prediction
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their physical efficiency through training, this project aims to develop software methods that allow deployed neural networks to progressively reduce their resource footprint while maintaining application
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions