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functionality. We will then conduct an observational study and collect data to predict injection treatment outcome using machine learning methods with the goal to include these models as a personalized prediction
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. Depending on the level of appointment, they are expected to teach Master’s-level courses related to energy conversion and storage, as well as the underlying fundamentals in mechanical and process engineering
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econometrics, statistics and quantitative analysis experience with at least one statistical programming language, such as Stata, R or Python, and an openness to learning additional tools the ability
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value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment
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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
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to meet deadlines. Detail-oriented with a commitment to continuous learning and team collaboration. We offer Full-time permanent position according to Swiss federal salary scales. Work at a world-class
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, students gain valuable hands-on experience and learn important skills for their future. This is why we’ve created an ecosystem where students (Bachelor, Master, and Doctoral students) are encouraged
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and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure
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positions, mobile working, job-sharing) Childcare at the kihz foundation of UZH and ETH Learning and Development Wide range of continuing education courses of UZH and the Canton of Zurich. Language Center run
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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data