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fundamental learning procedures to tackle distressing images related to aversive memories. The aim is to generate insights with direct impact on clinical practice and patient wellbeing. PhD Candidate Reducing
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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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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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during the first embryonic cell divisions. As a member of the laboratory, you will join an ambitious and collaborative research environment where curiosity, technical innovation and scientific independence
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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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? 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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, 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
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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