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methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and
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scientific problems in a systematic way and you are able to document and analyse your results carefully, including handling experimental data for Machine Learning workflows. As a person, you are collaborative
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the right place without adjusting the entire liquid. Within ECO, the PhD candidate will collaborate with 4 other PhD researchers from the University of Twente TU Delft, Wageningen University & Research and
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and students are recruited from all over the world and English is the main working language. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research
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that truly understands its environment. You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream
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? No Offer Description In this unique opportunity as a PHD candidate, you will be conducting applied research in the Research Centre of Hotelschool The Hague in close collaboration with our Lector
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planning and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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particular emphasis on applications from psychology, cognitive science and computer science, and the candidate will be encouraged to engage in interdisciplinary collaboration and communication. We are looking
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, publish the results and collaborate closely with the supervisory team and colleagues. This is what we ask of you You enjoy experimental research and want to work at the interface of physical chemistry
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In this unique opportunity as a PHD candidate, you will be conducting applied research in the Research Centre of Hotelschool The Hague in close collaboration with our Lector Alexander Schmidt, while