68 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs in Switzerland
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- ETH Zurich
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work in the team of Dr. P. Carrara and will be in charge of testing the behavior of different elastomers up to failure, analyze the results with novel digital and numerical approaches and contribute
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assistant, you will collaborate closely with a doctoral researcher and contribute to the screening and coding of academic papers (Note: Coding in this role refers to categorizing information from research
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experience and interests (max 1 page) Transcripts of all degrees (in English) Links to code repositories, publications, thesis (if possible) or projects (if available) Contact details of 2 relevant reference
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of predicting electronic, structural, and thermal quantities while leveraging underlying symmetries for computational efficiency. There will be a significant computational component in deploying multi-GPU codes
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(FOPH) of Switzerland and the Centers for Disease Control and Prevention (CDC) of the United States. We value good software engineering practices. We perform code reviews, have automated testing pipelines
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code, projects, etc) Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further
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of research excellence through peer-reviewed publications Evidence of comittment to reproducibity in bioinformatics through the use of Code Repositories Evidence of ability and experience in handling
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related field Solid background in physical optics, experience in interferometry and/or cryogenic optics is an asset Extensive experience with optical design and simulation tools (e.g. Zemax, Code V, FRED
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sustainability (max. 0.5 page) • a list of publications and other research outputs, including datasets, code, etc. • a copy of their PhD certificate Please note that page limitations do not include references
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) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile