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Intelligence in Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization. Project background Our research focuses on the development and application
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of motivation Names and contact information for 3 references Applications will be reviewed on a rolling basis until the position is filled. Please note that we exclusively accept applications submitted through
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We look forward to receiving your online application. In the field for additional information, please include your PhD, MSc, and BSc degree details (university, dates, and relevant experience). When
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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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integration of multimodal biosignal recording systems Hands-on data acquisition using methods such as non-invasive electrophysiological, respiratory, and pupillometry recordings during sleep and wake in humans
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email or by mail will not be considered. Further information about the ETH Student Project House and our machines can be found on our website , on LinkedIn, Instagram, and on Facebook. If you have any
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research field, encouraging faculty participation in space-related activities. The role also supports the strategic integration of space data applications into ETH research, enabling innovative uses of space
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evidence-informed policymaking. Please consult www.dec.ethz.ch for an overview of ongoing research projects. Our team: We are an international team of highly dedicated economists and data scientists
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
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with a high inclination for Earth Sciences. You will help the BedrettoLab team with: Data acquisition with borehole logging techniques and rock core scanning devices Data analyzing with standard software