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Field
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
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, composition, and temperature of each major circulation event. The project will rely on all identifiable markers of fluid circulation in order to assess: - Major circulation events and their timing
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The research groups of Prof. Anneleen Malfliet (Pain in Motion, PAIN, Vrije Universiteit Brussel), Prof. Doris Vandeputte (AI supported modelling in Clinical Sciences, AIMS, Vrije Universiteit
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Technology of UHasselt. The research activities mainly focus on the design and mechanical behaviour of structures and structural components made of concrete, masonry, steel, timber, and composite and hybrid
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the molten salt NaAlCl4 electrolyte chemistry by among others in situ Raman probe spectroscopy to investigate spatially resolved compositional changes during charging/discharging of the battery, and
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glioblastoma therapy From neurons to behavior: mechanisms of cognitive deficits in animal models of brain disorders Impact of gestational diabetes management strategies on breast milk composition and early
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. The main objective of the PhD project is to study the impact of auroral particle precipitation on Jupiter's atmospheric composition. The work will involve modeling the abundances of key chemical species in
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from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure
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to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics, matrix composition, and (anisotropic
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basis. Main tasks Analytical literature review on electromembrane processes and applicable membrane materials. Selection and characterisation of material candidates for the composite membrane. Preparation