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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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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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environment, and with excellent writing skills in English. You are passionate about science and interested in synaptic plasticity processes that drive memory processing. You like a challenge and are motivated
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of the supervision team; Participating actively in the intellectual life of the research group, including seminars, reading groups, and collaborative writing processes. Your qualities Required qualifications A
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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
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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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. Interviews will be held on a running basis until a suitable candidate is identify. As such, we encourage early application. Submitting a diploma and a reference check are part of the application process
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such, we encourage early application. Submitting a diploma and a reference check are part of the application process. Please submit the following documents: Updated CV including Bachelor and Master
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line. In the email, please also include the following clause: 'I consent to the processing of my personal data for the purposes of this recruitment process in accordance with the EU GDPR'. Please note