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. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly deformable and nonlinear nature. This PhD project aims to advance the navigation and control of soft
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Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges
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complex anatomical structures such as blood vessels, the bronchial tree, and endoscopic pathways. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due
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degree in engineering, preferably supported by first academic publications Documented experience with simulation and Digital Twins Strong mathematics skills and practical knowledge in 3D modelling Strong
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addition to CSK from existing KBs) in targeted avenues such as multipurpose robots, along with mathematical modeling and algorithmic insights Counterbalancing issues such as bias, overfitting, and inexplicable
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Polytechnique in Paris (France) and potentially also at the IE University in Madrid (Spain) and/or at Ivey Business School (Canada). You will work on developing mathematical optimization methodologies
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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. Mathematical modelling skills are of advantage. The candidates are expected to participate in the department’s teaching activities. You must have a two-year master's degree (120 ECTS points) or a similar degree