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Field
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, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully
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-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project
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motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together
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A four-year PhD Studentship in Pharmacometrics and Machine Learning funded by the UKRI EPSRC and GSK is available within the Institute for Global Health. The studentship will commence from 1st
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supervision of Thaleia Dimitra Doudali. The specific topic of the research will be determined based on the common interests of the candidate and the supervisor. Here are some potential topics: [Machine Learning
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on research in the fields of machine learning, hydrology, and water resources management at various
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and machine learning with a focus on generative machine learning methods for cyber security applications. Your work assignments The primary focus of this PhD student position is research on generative
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the sustainable companies and societies of the future. Machine Learning Research Laboratory is looking for a doctoral student in the field of machine learning. We offer state-of-the-art resources
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your application! We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications. Your work assignments The primary focus
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Machine Learning Research Laboratory is looking for a doctoral