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numerical characterization of composites processing/manufacturing for hydrogen tanks. This includes measurement of physical and mechanical properties, from individual fibre and polymer constituents, over
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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and implications of data anonymization, Investigating the impacts of various anonymization techniques from a business, legal and regulatory standpoint Designing and evaluating a reference process model
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Solid State Physics group at KU Leuven are looking for a full-time (100%) doctoral scholarship holder in the field of novel CO2 reduction photocatalysts based on ultra-small gas-phase bi- and multi
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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are looking for: A motivated candidate with a strong academic track record and a degree in Materials engineering, Physics engineering, Materials chemistry, or a related field in Science and Engineering. A
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. The applicant is expected to apply for their own fellowship, and will be fully supported during the process Access to state-of-the-art infrastructure and core facilities in a vibrant, world-class
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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
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profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Physics, or related fields. Experience: The ideal candidate should have some knowledge and experience in a
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of structures, contributing to sustainability. The use of advanced dispersive features of elastic waves allows for sensitivity to different length scales and physical properties, enabling the early detection and