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4.0. For a new industry related research project, we are looking for a new PhD. Job description A considerable portion of the noise produced by trains stems from rolling noise, primarily influenced by
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novel methods at the intersection of advanced control, optimization, manufacturing science, and machine learning, to create the next generation of sustainable automation solutions for modern manufacturing
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100%, Zurich, fixed-term We are excited to announce a unique opportunity for a highly motivated PhD candidate to join our ongoing collaborative research effort in the field of experimental quantum
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100%, Zurich, fixed-term Thesolid-state NMR research group in the Departement of Chemistry and Applied Biosciences is looking for a PhD student on the topic of pulse-sequence optimization based
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optimization sub-group of the Reliability and Risk Engineering Lab. To this aim, the successful candidate will: Advance mathematical optimization methods to further our understanding of future energy systems
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optimization based on effective Hamiltonians. We are a small team working on theoretical aspects and methodological developments in solid-state NMR and dynamic nuclear polarization (DNP). Our work is mostly
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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management
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include international collaborations with academia and industry, mentoring MSc, and PhD students, and the potential for transitioning to work with our robotics industrial partner. Dr Diego Paez-Granados in
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, wearables, autonomous vehicles, telecommunication infrastructure, and high-performance computing. In this context, the Digital Circuits and Systems Group invites applications for one PhD position focusing
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novel method for autonomous design of 3D shapes fitting to the user body and optimizing the design to the desired assistance. Apart from actively shaping our group's research, the positions include