48 condition-monitoring-machine-learning PhD positions at University of Groningen in Netherlands
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-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre provides access to extensive global datasets, fostering collaboration across disciplines and
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters
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explores the mechanochemistry of molecular machines to develop adaptive and intelligent systems 2) Our team investigates how prebiotic conditions on the late Hadean Earth may have given rise to the first
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are desired. We are looking for a talented, motivated and enthusiastic researcher, with initiative and creativity. You are a naturally curious person who is eager to learn more and has a strong interest in
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team-based scientific research, producing publications for national and international forums, contributing to the further development of the DNPP website and helping to acquire external research funds
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of English. Reading proficiency in relevant modern languages (e.g. German, Italian, French) or ability and willingness to acquire it. Excellent communication skills. Willingness to move to/reside in Groningen
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: Optimize network design: Develop a robust, scalable thermodynamic–hydraulic framework to size and configure prosumer-based heating and cooling networks under conditions of price volatility, CO2 taxation
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to rural supply. Where are the strongest city–countryside interactions? What socio-economic conditions matter? How can new initiatives be combined with existing activities, including housing, to create
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. Project 2. Project title: Motor learning as a window into neurodegeneration: an interdisciplinary approach Supervisors Dr Defne Abur (YAG, Faculty of Arts, Assistant Professor of Speech and Speech