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the possibility of extending the project to a second year based on the research results and project review. You will join the computational kinetics group at D-MAVT, an interdisciplinary research environment at ETH
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quantification, from classical optimisation and Bayesian inference to physics-informed neural networks (PINNs) and other machine-learning approaches build and extend our simulation environment, with a focus on
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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 staff and students are respected. Visit our
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) Exposure to a cutting-edge research environment spanning real-time graphics, large language models, and affective computing Regular 1-on-1 mentoring and weekly team meetings Collaborative, international team
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employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits. chevron_right Working, teaching and research at ETH
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candidate will develop methods to extract defect and deterioration indicators from inspection images, video, sensor data, and periodic 3D laser scans, including domain adaptation for tunnel environments and
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is helpful, but specific platform experience is not required. Workplace Workplace We offer A research environment combining fundamental physics, semiconductor technology, and advanced photonics. State
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++ software. Prior experience with these is not required. Workplace Workplace We offer A PhD position in an interdisciplinary, international research environment at the interface of mathematics, computing and
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equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and
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, Value of Information analysis, or business process modelling would be considered an advantage Willingness to carry out field work in underground environments and to collaborate within an interdisciplinary