213 computer-science-intern "https:" "https:" "https:" "https:" "P" uni jobs at ETH Zurich
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convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational
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data Coordinate with researchers in climate science, environmental monitoring, data science, and related fields Collaborate with a dynamic and international team of developers and researchers developers
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degree in biomedical engineering, mechanical engineering or related relevant field A demonstrated and substantial experience with computational simulation methods, i.e. finite element analysis English
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(Bayesian) phylodynamics. A Master degree in computer science, bioinformatics, or a related field. Interest in working with an interdisciplinary and international team. We value an open and inclusive group
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Computer Science, Biomedical Engineering, Data Science, Cognitive Science, or a related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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implementation strategy to drive the LIFE Space Mission to successful launch and operations. To support the mission concept study, we opened two positions in Optical Engineering. Project background LIFE brings
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) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal
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100%, Zurich, fixed-term ETH Zurich’s Energy and Technology Policy Group (EPG) is looking for a doctoral student working on the role of knowledge and innovation for economic resilience in