57 programming-languages-"the"-"U"-"FEMTO-ST"-"IDAEA-CSIC"-"PDI-Service"-"UCL" positions at ETH Zurich in Switzerland
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software engineer. You have solid experience in multiple programming languages, in particular Python. Experience working with plugin systems is a big plus. Familiarity with continuous integration pipelines is an
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configuration Programming with scripting languages (e.g. Bash or Python) REST APIs familiarity Problem decomposition Good communication skills Beneficial Skills: CI-CD pipelines building Automated testing Linux
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Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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in PBF of plastics (whole chain). Develop and test new materials, additives, and processing strategies including printing & testing of parts. Plan and execute laboratory experiments (incl. DoE) with
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of research activities and programs, education and exchange facilitation as well as communication and representation. Key responsibilities of this exciting position include managing existing research programs
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German Programming skills in R Enrolled in a Bachelor or Master program at a Swiss university Desirable: A strong command of R Markdown and Latex Previous experience with Qualtrics Willingness and
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. Workplace Workplace We offer 100% doctoral salary (ETH standard rate) Participation in the doctoral program of the gta Academic supervision and mentoring by members of our insitute, within a developed
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through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description This doctoral position is offered by the Wood
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal