94 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U.S"-"Prof"-"UNESP" positions in Switzerland
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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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announced. Students enrolled in the program will acquire a comprehensive skillset that is relevant to essentially any field of advanced science and technology which will prepare them for future careers in
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. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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to offer services and solutions in the wide area of scientific computing from the provisioning of HPC resources, over scientific data analysis and management to research software engineering. SIS is
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Information Technology, Statistics, Signal Processing, or Computer Science (or a related field). Also, strong software development and programming experience is a must. Fluency in the English language is highly
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing
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the ETH Zurich employee benefits program chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages an inclusive culture. We promote
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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You
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technologies and key expertise for omics research, the FGCZ provides research services and project support to the Zurich life science research community. Project background The FGCZ Proteomics Unit supports