219 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Leiden-University" positions at ETH Zurich
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
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interest and motivation to contribute to the project’s goals (see Job description section above) Outstanding academic record, including an excellent Master’s degree in Computer Science, Engineering, or other
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80%-100%, Zurich, permanent The Department of Environmental Systems Science (D-USYS) at ETH Zurich is seeking a Technical Director to lead the operation of the Environmental Chemical Analysis
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will be put in place. Profile The ideal candidate will hold a PhD or equivalent in bioinformatics, computational biology, computer science, applied statistics, or a related field, with substantial (>6
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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a dynamic and international group of researchers. SMI is committed to research at the highest academic level in management and business, and the team has a strong track record of publishing in leading
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Physics or Engineering with a specialization in precision instrumentation. Workplace Workplace We offer This position offers a unique bridge between high-level academic research at ETH Zurich and the fast
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60%-80%, Zurich, fixed-term The Laboratory of Ecosystems and Landscape Evolution (ELE) and the Genome Engineering and Measurement Lab (GEML) at ETH Zurich are seeking a laboratory technician to join
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bioinformatician Support the training of Institute of Microbiology members in bioinformatics and computational biology through individual consultations and the organisation of training sessions (e.g. workshops
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work