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challenges. The work is conducted at the interface of mechanics, artificial intelligence, and computational science. The developed methods will be validated on benchmark problems and real-world data and
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methods particularly in crystalline rock remains insufficiently understood. The Bedretto Underground Laboratory provides a unique, highly instrumented environment to investigate coupled seismo-hydro-thermo
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maintained and distributed by C2SM is EXTPAR (External Parameters for Numerical Weather Prediction and Climate Application), which prepares external parameter data for use with the ICON (ICOsahedral
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of emerging technologies balanced against their dark sides. Our research at the intersection of data, behavioural, and computer science draws on data from real-world and experimental settings The Centre for AI
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close collaboration with courts and partners across Switzerland. We are looking for Research Assistants (Law, Computer Science, or related fields). Job description We are looking for highly motivated
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scripting, high performance computing, or advanced statistics and data analysis frameworks (python, R) Regardless of background, the successful applicants will have an interactive personality, motivation
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group’s phenotyping research focuses on the development of methods and models to determine traits of relevance for crop breeding and variety testing. Project background PhenoMix is a joint project of four
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partners in Singapore, such as NTU, could be pivotal in this field, driving the development and implementation of innovative AI methods and saving millions of dollars in compute time while accelerating
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group’s phenotyping research focuses on the development of methods and models to determine traits of relevance for crop breeding and variety testing. Project background PhenoMix is a joint project of four
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) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile