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, and group development that complements the existing strengths of the chair group; you have experience in building and maintaining a broad (inter)national network; you have a successful track record in
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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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the full protocol stack — from physical-layer innovation and hybrid integration (optics, photonics, electronics, novel materials) to higher-layer network optimization, inference, and training in real time
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-affective processes, and contemporary approaches to modelling symptom network dynamics. A central objective of the project is to identify dynamic indicators of reduced resilience and maladaptive stress
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skills for functional genomic screen design and analysis. You will build CRISPR tools, design optimized pooled genetic screens (e.g. Perturb-seq–based approaches), and troubleshoot the experimental
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, a cutting-edge initiative aimed at revolutionizing patient monitoring in clinical settings. The focus of this PhD research is to develop optimal methods for capturing and sampling patient states, with
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production of high-value chemicals, such as fuels and organic molecules, from “waste” substrates, for example, carbon dioxide and biomass. The main aim is to understand, develop, and optimize electrochemical
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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mathematics. Strong background in mathematical systems and control theory. Experience and/or a keen interest in the field of hybrid dynamical systems, observer design, learning techniques, and optimization