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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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software for scientific data analysis. B: A computer scientist or software engineer specialised in algorithmic optimisation and data structures, with demonstrated accomplishments in the context
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bodies in both basic and applied research. Working independently or with other scientific staff to deploy simulation or algorithm pipelines on advanced computational infrastructure, such as High
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staff to deploy our simulation or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems. As many of the lab members actively contribute together
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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international collaboration with partners in Switzerland with academia, clinics and industry, mentoring MSc, and PhD students. Dr Diego Paez-Granados in collaboration with Prof. Robert Riener (SMS Lab ) will
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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and