88 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions in Switzerland
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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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-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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this position, and career goals Contact information of 3 potential referees Curriculum Vitae Publication list A copy of your M.sc. or PhD certificate Coding sample / Github account / any other relevant
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of generative AI algorithms for manufacturing Collaborate with an interdisciplinary team to transform research results into innovative solutions Develop high-quality code and build the basis for our industrial AI
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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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-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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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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interested in current political and societal discussions Be able to work independently, manage multiple tasks and deadlines Be a team player with strong communication skills Have experience with coding (e.g
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consortia. Good grasp of satellite- and airborne sensing, geospatial data platforms, and AI-enabled analytics, or demonstrable capacity to learn rapidly. The relevant, sector specific professional network