167 web-programmer-developer-"St"-"Washington-University-in-St"-"St" positions at ETH Zurich
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. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
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promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global
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conditions are internationally highly competitive and according to ETH standards . We’re looking for candidates interested in: Full-stack software development, with a focus on mobile applications Health
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Unit in developing and maintaining the group-specific Safety Concept. Coordinate occupational safety and health protection training, hazard assessments, and safety documentation. Serve as the Group
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offered by the ASVZ , childcare and attractive pension benefits . Training opportunities Perspectives for career development Support programmes (e.g., mentoring) and networks Fruitful working environment
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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environment. Project background We developed the Design++ postdoctoral fellowship program to provide an opportunity for talented researchers who are interested in bringing promising technologies and solutions
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research in mineralogy, dynamics, and evolution of deep planetary interiors. Project background The Experimental Mineral Physics group applies high-pressure and high-temperature experimental approach mainly
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning