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. Commercial solutions avoid entanglement-based methods due to technical challenges, yet this limits the impact such technologies can have. In this project, we aim at further developing photonic integrated
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, and integrated analysis. The team runs an excellent open source based software environment and establishes state-of-the-art data analysis concepts and algorithms. Job description The bioinformatician
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utilization, adapt or modify algorithms to run more efficiently and consult, train and support our users on best practices along those directions. You are expected to take a holistic approach considering
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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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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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, 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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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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The Division of Computational Pharmacy, Department of Pharmaceutical Sciences, is offering a Senior Scientist position to develop and apply cutting-edge computational methodology for drug discovery
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Intelligence in Mechanics and Manufacturing at ETH Zürich. Project background Our research group performs research on cutting, grinding, EDM, and simulation. We develop and refine manufacturing technologies
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and health. Genetic, cell and tissue technologies have profound applications and potential in protection of environment and high health standards. Our group is engaged in development of various sensors