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part of the NWO-M 2024 research project “Real Fake: How Highly Immersive Disinformation Affects What People Believe”. The project investigates how people respond to immersive disinformation: highly
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requirements in conflict zones and other industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in
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for understanding the drivers of optimal soil functionality. Developing new analytical methods is necessary to better assess and exploit these functions. Particular attention should be given to the soil microbiome
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Designing tailor-made soil amendments is a promising approach to steering and optimizing soil microbiomes and soil functions. These amendments should preferably be derived from renewable and circular sources
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to this challenge is to leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset
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, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be supervised by experts in combinatorial optimization, machine
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for sustainable spare parts management using additive manufacturing. You will explore how to: Design supply chains that include AM-based remanufacturing facilities. Optimize spare parts inventories and ordering
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of data structures, static analyses and compiler optimizations, parallelism and concurrency) to turn these new theoretical developments into performant implementations; building state-of-the-art
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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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simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative