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here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
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. Experience in or willingness to learn analytical chemical analyses and data processing. Excellent command of English language (written & oral) and experience with scientific writing. Driver’s license valid in
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mindset and are able to write scientific texts with ease. You have an excellent command of English, both spoken and written. You are motivated to successfully complete a PhD research project under
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and a willingness to further develop those skills to automate your data processing and improve your own workflow efficiency are expected. You have a strong interest in catalysis and structure-function
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platform. Initially, a black box deep learning approach will be implemented. However, due to the need for robustness, transparency, and explainability (e.g. for quality control across sectors), the research
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surrogates of offshore wind turbines’ foundations. As newer offshore wind farms are coming online with tighter fatigue designs and more aggressive control strategies, your research will seek to assist decision
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impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
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and concerns about the dominance of the highly educated. Against that background, this PhD project aims to achieve a better understanding of the particularities of education-based status processes by
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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of ambient species like oxygen and water is of course to take into account, other factors are still out of control. Growing evidence shows that the properties of organic materials and, consequently