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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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datasets that include over 11,000 tree species annotations from across Switzerland, along with climatic, topographic, and lidar data. Test the best algorithm developed for the identification of tree species
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to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
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, processing, and interpretation of satellite and drone data, as well as (2) the development of operational applications for emerging intelligent earth observation technologies. Our team develops cutting-edge
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scientific questions or develop algorithms that perform automatically some challenging tasks. This typically involves exchanging actively with collaborators and domain experts to understand the precise
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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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Wattenhofer and Dr. Antonio Di Maio . You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but related research directions in