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developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
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contributing to new research methods in human-AI collaboration? Then we are looking for you! We are hiring a technically strong, creative, and socially motivated PhD candidate to join the international
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framework that is now being developed in the Laan Lab. You will be part of a multi-disciplinary team, including another PhD student who focusses on the genomics of adaptation and a postdoc who will analyse
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Description The Faculty of Science, and specifically the Institute of Environmental Sciences CML, is looking for: 2 PhD candidates in Industrial Ecology Vacancy number: 15958 Project overview The successful
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The Faculty of Science, and specifically the Institute of Environmental Sciences CML, is looking for: 2 PhD candidates in Industrial Ecology Vacancy number: 15958 Project overview The successful
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Apply now The Faculty of Science, and specifically the Institute of Environmental Sciences CML, is looking for: 2 PhD candidates in Industrial Ecology Vacancy number: 15958 Project overview
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are looking for a PhD candidate to take up the challenge of extending the capabilities of the spatial spectral methodology to more advanced wafer metrology applications. As a PhD candidate, you will extend
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through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations
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African countries. If so, an exciting job opportunity is waiting for you! We are looking for a pro-active, analytical and self-motivated PhD candidate to contribute to our understanding of advances, gaps
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Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised