55 postdoc-in-thermal-network-of-the-physical-building PhD positions at KU LEUVEN in Belgium
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technologies as promising mechanisms to reduce the burden on data managers currently involved in this process. You obtained your master’s degree (or you are about to graduate in 2026) in Computer Science, or a
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applied to bridges, wind turbines, and high-rise buildings. Variations in dynamic characteristics - such as eigenfrequencies, mode shapes, and modal damping ratios - can indicate structural changes
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scientific research are interested in building a career in sensor technology and data science Then you are THE candidate we are looking for and we would like you to apply for this interesting PhD position
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Offer Description Global supply chains are large, complex networks that are typically opaque even to the firms that operate within them. A firm generally has visibility only to its direct (tier-1
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Flanders and set up learning networks. As a doctoral researcher in adult education and lifelong learning, you will be supervised by Prof. Dr. Sofie Cabus. In addition, you will provide limited support in
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chances to build a strong international network How to Apply Please submit: A motivation letter explaining your interest in this PhD and how your background fits the profile Your CV Contact
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challenges of our time is straining our ability to exert cognitive control. Our Digital Age is characterized by a continuous flow of multi-source information. One of the pinnacle strategies to process that
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offers a dynamic, stimulating and pleasant working environment. The student will be part of the Research Group Finance, which enjoys a strong international reputation and is part of a wide network
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Oct 2026) in Earth - or Environmental Science, Climatology or related field (geography, engineering, bioscience engineering, geology, physics, meteorology, oceanography, mathematics, informatics, etc
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learning-powered algorithms as well as hybrid approaches, combining either reinforcement learning or deep learning (Graph Neural Networks) with human-based modelling, for fully flawless and autonomous method