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Field
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, particularly the role of modal couplings in energy transfer and dissipation, remains a fundamental challenge. This PhD project offers a unique opportunity to tackle these two complementary perspectives. In
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Description We are looking for a PhD-candidate interested in topics that lie on the border of optimization by the use of heuristic algorithms and (Explainable) Artificial Intelligence ((X)AI). Specifically, in
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The project focuses on the experimental realization and study of artificial microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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collaborative labs develop and deploy the latest technology, including sensing, data analytics, modelling, simulation, artificial intelligence, and machine learning, and function as dynamic hubs where innovative
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the Intelligent Systems department at TU Delft. In this project we also work together with experimental groups at TU Delft and beyond. The Delft Bioinformatics Lab has strong algorithmic and machine learning
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are a motivated researcher with a strong interest in genetics, data analysis, and international collaboration. You recognize yourself in the following profile: You hold (or are about to complete) a
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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the emergence of life by creating a new class of materials that we call animate materials – materials that possess life-like abilities such as motion, shape-morphing, and intelligent behaviour. This cutting-edge
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elements for in-materia computing, as part of a joint theoretical/experimental program carried out at AMOLF (Amsterdam) and TU/e (Eindhoven). Computing with artificial neurons takes inspiration from nature’s