475 computer-science-intern "https:" "https:" "https:" "https:" "University of Cambridge" positions in Switzerland
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The Biozentrum of the University of Basel is one of the world's leading life sciences institutes. With 32 groups and 500 employees, we are a dynamic and international research community that has
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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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within the ETH environment and in national and international RDM networks. Profile PhD in natural sciences, engineering, computer science, or comparable fields Several years of experience in research data
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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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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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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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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