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offer A fast-paced and dynamic environment with a rapidly-growing and adapting team Opportunities to interact with leading researchers in the field of AI Networking with industry partners in
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Active participation both within the research group and via (inter)national networks and conferences Participation in the organizational and administrative tasks of the institute Profile Requirements: MSc
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, computational science groups/network/community, and data platforms. PhD programs: Department of Biosystems Science and Engineering, ETH Zürich Questions can be directed to: ihbglobal@roche.com Please submit your
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collaboration with key disease biology experts in a strong internal and external network. You enable the generation of state-of-the art cellular models and cell-based assays through your scientific excellence
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-systems-based alternative to data-based system modeling via neural networks. SSM-based modeling provides explicit and predictive polynomial ODE models for the observed dominant dynamics of nonlinear systems
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shared commitment to enabling entrepreneurship with real-world impact. You will have the task to design and run new acceleration, incubation, mentoring and networking activities, consolidating our existing
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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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/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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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