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of optimization and flexible query answering reduction or enrichment because it impacts on which L-grades (and their corresponding objects) are kept into consideration for further computations. • Fusion relates
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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connect with consumers in the digital age. Your research will focus on how companies design and optimize marketing communications across different platforms, particularly through images and videos. You will
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PhD candidate and contribute to research on how brands connect with consumers in the digital age. Your research will focus on how companies design and optimize marketing communications across different
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for considering components independently. Inspired by so-called contract theories from computer science, such modular control theory will be based on the introduction of assume-guarantee contracts for control
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Systems, Control, and Optimization group of the (Applied) Mathematics Department and will work under the supervision of Prof. Bart Besselink. The successful candidate should Have a keen interest in pursuing
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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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You will join the UBIX Research Group (https://www.uni.lu/snt-en/research-groups/ubix/), led by Prof. Raphaël Frank, and work in close collaboration with the industrial partners that are part of
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression