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to the HyperKamiokande (HyperK) and FASER experiments. Our team is currently deeply engaged in neutrino physics analyses using state-of-the-art techniques such as artificial intelligence. We have a long-standing tradition
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manipulation, designing optical and electronic systems for precise control, and calibrating the dynamical process with the appearence of Rydberg interactions. Scientific objectives include searching for optimal
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, enthusiastic, and highly motivated postdoc with a passion for science to join our team in Zurich. Our research focuses on process- and system-understanding of the biosphere-atmosphere greenhouse gas exchange of
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there is a lot of expert knowledge to be considered at multiple levels, both as input of the model specification, and as output of the model estimation. The process, data and output should determine
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machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In
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the optimized models for suggesting new experiments to identify digital biomarkers that can be used to classify disease models Your profile You are a team-player You have a bachelor in physics, mathematics
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the numerical optimization procedures. This requires a good understanding of NMR and EPR theory and spin physics. The position is initially for a one year duration, funding is currently available for two years
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physics and materials science. This research field capitalizes on the achievements in optomechanics, atomic physics and control theory. Project background We have openings in the areas of Inertial force
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100%, Zurich, fixed-term A 1+1 year postdoctoral position is available at the Institute for Particle Physics and Astrophysics, Department of Physics, within the group of Prof. Judit Szulagyi
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(or shortly thereafter). Project background The goal of this project is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and