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immediately prior to the recruitment date. Selection process APPLICATION PROCEDURE The applicant must apply through the project website: www.cangonano.eu . Any other form of application will not be considered
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and
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into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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vacancy or the selection procedure, please contact Yuguang Yang, Yuguang.Yang@tudelft.nl. Application procedure Are you interested in this vacancy? Please apply no later than 15 April 2026 via
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predictive theory for rapidly evolving viruses. You will work at the interface of theoretical physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case
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Amplifiers (SOAs) Conduct applied research to validate models through experiments and integrate them into Process Design Kits (PDKs) Information Develop compact, physics‑based models for optical amplifiers
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)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and Switzerland, the project aims to better understand urban densification as a contested process of land rent
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conditions. However, current global climate models (GCMs) lack the spatial resolution to capture these processes, while high-resolution regional models remain too computationally expensive for large ensemble
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advanced predictive control methods to optimize the operation of an integrated system of hybrid energy storage systems (i.e., multi-carrier energy hub or micro-grid) and high-tech greenhouses. These hubs