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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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that transcends the boundaries of faculties and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Raad . Psychosocial well-being at work and
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and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Psychosocial well-being at work and ombudsperson Doctoral and other students
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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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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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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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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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approaches for N flux modeling and analysis. The successful candidate will be responsible to answer research questions related to the potential of integrated framework of sensing, modelling and control
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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