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Positions: We have an opening for a PhD position in the areas of machine learning and computer vision. The position is supported financially by a SNSF project, whose aim is to build controllable
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advanced data mining and machine learning techniques, we will extract valuable data from databases, data repositories and non-strucured data sources (e.g. scientific articles and supplementary materials
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, develop methods to speed up this development by focusing on machine learning techniques to address sustainability challenges in chemistry research. We will explore novel pathways to process design and
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simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs. Fluid injection or production induces changes in
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We offer SAR fellows are provided with a desk, access to IT and library infrastructure as well as a computer, if required. Associate fellows may agree to integrate fellows into their group part-time
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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Professor Dr. Rama Gottfried at the Institute of Computer Music and Sound Technology (ICST) at the Zurich University of the Arts (ZHdK). Project background The project aims to develop theoretical and
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Management (IM ) group is looking for a highly motivated full-stack software engineer with great technical skills and a genuine interest in learning new things. You will join a young and international
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multiscale processes, as well as in developing and using innovative scientific computing techniques (including HPC, machine learning, multiscale algorithms). It also has excellent experimental infrastructures