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for future collaborations. Your role The Department of Engineering of the Faculty of Science, Technology and Medicine seeks an outstanding candidate in Digital Methods in Construction to strengthen
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, (3) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement AI-based methods and
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, (3) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement AI-based methods and
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to the refinement and application of inverse finite element (FE) modeling for multiscale mechanical characterization of cartilage. Integrate in vitro, in silico, and in vivo data into a coherent, multi-scale
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are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
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reflectance infrared Fourier transform spectroscopy (DRIFTS) to unravel charge transfer mechanisms, active sites and intermediate molecules in the reaction pathway. Additionally, finite element theoretical
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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advanced analytical techniques such as GC×GC/MS, GC-RGA, GC×GC/NCD, GC×GC/AED, FTIR, etc. You have experience in catalyst modification methods, particularly alkaline treatment for mesopore introduction, wet
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). The faculty’s mission is to have a decisive and positive impact on how economic and business challenges are addressed. With a strong emphasis on quantitative methods, we produce pioneering research and educate
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of the Université libre de Bruxelles (ULB). The faculty’s mission is to have a decisive and positive impact on how economic and business challenges are addressed. With a strong emphasis on quantitative methods, we