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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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Publication list Contact details of two refereesPlease send your application to [nicola.serra+sinergia@uzh.ch]. Further information about [Department of Mathematical Modeling and Machine Learning or Department
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
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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
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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for in vitro disease modeling. Our group integrates mechanical design, materials science, and bioengineering to build functional 3D organoid systems and reduce reliance on the use of animal models. We
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of the mineralogical model of the Earth's whole mantle (upper mantle, transition zone, and lower mantle) clarification of the differentiation process of the early Earth from fully molten state exploring the internal
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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image processing techniques and modern machine learning approaches to extract meaningful quantitative information from complex biological images. The successful candidate will contribute to projects
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of digitalization, machine learning, analytics, and other Industry 4.0 technologies in manufacturing. Operational Excellence covers traditional industrial engineering and management topics like lean production, world