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the research groups active at the KU Leuven Ghent Campus. This funding call is open to all EU and International applicants. Keywords: Digital Image Correlation, Experimental and Computational Mechanics
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signalling hubs coalesce to initiate autophagosome formation. How cells coordinate this intricate machinery required to create an autophagosome is still not fully understood, and this lack of knowledge is
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morphogenesis and mechanical properties of the blastoids. Advanced Experimental Methods: Utilize state-of-the-art techniques, including rheology, Atomic Force Microscopy (AFM)-based nanomechanical probing, and
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: Wireless communications, signal processing, optimisation, machine learning, as well as programming and implementation skills Objectives: To design sensors and a data acquisition system for the experimental
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validation of the numerical model. Candidates should be holding a MSc degree in Engineering (or equivalent), with demonstrated experience in computational fluid dynamics (CFD), preferably in hydraulic
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18 Oct 2025 Job Information Organisation/Company KU LEUVEN Department Mechanical Engineering Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1
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mechanisms and pathways behind – multiple exposures pathogenesis and disease is not yet fully understood. In the EXPOSIM project, a large-scale EU project, we aim to unravel the complexity of the association
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consider the inference of parameters in applications arising from structural mechanics. The research will be carried out in an international team of numerical analysts at NUMA. While the envisaged work is
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" that adapt to users and spatial dynamics. Across these pillars, your work spans measurement campaigns, wireless experimentation, spatial analysis, prototyping, and the development of participatory design
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models for photocatalytic processes.Apply machine learning to experimental datasets from consortium partners.Develop and implement multi-objective optimization algorithms (e.g., NSGA-II, MOPSO).Collaborate