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-level algorithms on top of existing networks using sonar imaging Testing, analyzing and proposing improvements of the networks and implementing them Make pioneering algorithms for sonar perception ready
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leading technical universities. Close collaboration with an innovative industry partner. Opportunities for professional development and networking. A chance to contribute to sustainable material and food
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affiliated labs at both ETH Zurich and EPFL, in collaboration with Jessica Dehler Zufferey , the EPFL Operational Manager for CLUE Developing formats for regular communication, collaboration, and networking
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/jiec.13205 Komkova A., Habert G. 2023. Optimal supply chain networks for waste materials used in alkali activated concrete fostering circular economy. Resources, Conservation & Recycling. DOI:10.1016
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mechanisms. Workplace Workplace We offer Training opportunities with leading experts in modeling, biogeochemical cycles, and atmospheric processes. Support programmes and networking opportunities such as
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agenda and securing future funding Collaboration opportunities with international research and policy networks Access to ETH’s world-class computing infrastructure and research facilities Access
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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(IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation
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scientific network participation in international conferences and seminars competitive salary conditions according ETH regulations In line with our values , ETH Zurich encourages an inclusive culture. We
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collaborations with other academic partners, industrial companies, and agencies – in Switzerland, Europe and worldwide Maintains an academic and industry network in Switzerland and beyond, to understand