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validation tests. 2. Digital Modelling & Data Analysis Support development of the AI-enabled simulation and digital model platform. Run thermal–electrical models (COMSOL, ANSYS, or equivalent). Analyse field
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simulation and network-based methods for epidemiological modeling. ● Develop reinforcement learning models for decision-making during epidemic outbreaks. ● Documenting the entire process and all the codes
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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to model development, experimentation, data processing, and performance evaluation as part of an active research environment. Responsibilities Implement and experiment with computer vision models using
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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infrastructure. The research will employ a combination of semiconductor device modelling, semiconductor simulation (by imec), electrical/optical characterisation, and system-level simulation of link performance
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Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired
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to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates
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laser repair system that integrates corrosion assessment, cleaning, cutting, repair, and painting within a single robotic unit. Using computer vision, machine learning, and predictive models, it enables
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; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates holding a degree obtained abroad must, by the end of the application period, provide