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teaching and student supervision activities in areas related to your expertise. What we ask of you Your experience and profile A PhD degree in AI (e.g., machine learning, natural language processing
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storage, but their widespread deployment is limited by challenges in energy density, stability, solubility, and cost of electroactive redox compounds. The PhD candidate will develop and apply machine
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software engines into a unified DAT toolchain, ensuring compliance with industrial EDA standards. Job requirements MSc or PhD in Electrical Engineering, Computer Engineering, or a closely related field
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. Methodological Approach Candidates will develop and apply state-of-the-art machine learning techniques, including deep learning, representation learning, variational autoencoders, and graph-based models. A strong
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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Vacancies PhD Position JUST FUTURES: ReStor(y)ing Multispecies Futures Through Digital Media Key takeaways Your research will engage critically and creatively with environmental data (e.g
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new knowledge and critically assess approaches that integrate scientific insights with artistic research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art
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of machine-learning models capable of analysing the potential of selected antigens as potential vaccine candidate and/or diagnostic target. You will work here The research is embedded within Wageningen
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machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it an advantage if you bring one or more