47 condition-monitoring-machine-learning-"Multiple" PhD positions at University of Groningen in Netherlands
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(LLMs) and state of the art methods in NLP. Has a demonstrable interest in misinformation countering or climate communication. Is willing to acquire knowledge of Social Network Analysis methods and
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position as a hub for innovation and learning. Located in the vibrant city of Groningen in the northern Netherlands, it attracts talent from across the globe. Located within the University of Groningen
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to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre
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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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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