170 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at ETH Zurich
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100%, Zurich, fixed-term The Hospenthal Group at the Institute of Molecular Biology & Biophysics (IMBB) at ETH Zurich, Switzerland, investigates the molecular mechanisms that govern natural
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(Bachelor's and Master's) Three professional reference contacts, including an email and a direct phone number to reach them A publication or thesis work sampling your academic reasoning and writing Please note
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running on distributed systems; main programming languages and technologies include Python, Numpy, Xarray, and C++. Ensure the data processing framework remains highly performant, scalable, and cloud-native
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Engineering of ETH Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential
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detection, quantification, or catalogue analysis. Programming skills in Python; experience in scientific software development and C++ would be regarded positively. Familiarity with seismic data processing and
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equipment Develop computational and data analysis tools for bubble dynamics and ultrasound propagation Collaborate closely within our interdisciplinary team, which combines expertise in chemistry, mechanical
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innovation with biological applications in animal nutrition. Profile A PhD in data science, computer science, applied mathematics, bioinformatics, statistics, animal science, or a related field is preferred
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provides utilities, grid operators, industrial associations, and federal institutions with a technology-neutral and independent quantitative analysis. Project background We are looking for a highly qualified
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conferences, workshops, and seminars. Profile ETH requirements: written and spoken fluency in English an excellent master's degree (MSc., M.Eng. or equivalent) in Computer Science, Electrical Engineering
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. You have a solid background in computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis