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with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our
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in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
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projects or employment). Your profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in machine
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strategies to design pulse sequences for high-resolution solid-state NMR under magic-angle spinning and static DNP in close collaboration with two PhD students working on these topics. The efficiency
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construction or related fields Knowledge and experience in data analysis and database management, as well as emerging technologies applied to the construction sector, such as BIM, scanning, machine learning
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experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling
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80%-100%, Zurich, fixed-term Prof. Dr. Carlo Menon, Professor at ETH Zurich and Director of the Biomedical and Mobile Health Technology Lab , is looking for a postdoctoral candidate with expertise
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. The position is in computer simulations of supermassive black hole disks, funded through a MERAC grant (PI: J. Szulagyi). The desired starting date is as soon as possible, but the latest of Dec 1st 2024. Project
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emissions in the AEC industry. Research topics include, but are not limited to the following: Establishing innovative methods or digital tools (for example based on AI, machine learning, XR) for the full
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, machine learning, modeling, and custom hardware, we test our solutions in various real-world projects with industry. Project background We foster a culture of continuous improvement, transparency, and no BS