189 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at ETH Zurich in Switzerland
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data (what type and where; and what your role was) Diplomas Copy of your MSc thesis (or term paper if the thesis is not yet submitted) Summary of your MSc thesis (max. 1 page) 2 scientific references
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considered. Further information about the Department of Chemistry and Applied Biosciences can be found on our website . Questions regarding the position should be directed to Prof. Dr. Yoko Yamakoshi
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, data flow, and interfacing with digital tools such as LIMS, ELN, and data analysis pipelines Training and technical support for platform users and laboratory staff Documentation of systems, procedures
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information about ETH Zurich can be found on our website . Questions regarding the position should be directed to Dr. Florian Lienhard email: lflorian@ethz.ch (no applications). Please note that we exclusively
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Computational Design Lab and work at the interface of computer vision, computer graphics, hardware, and extended reality. The project is part of ETHAR, a new research initiative at ETH Zürich with a unique focus
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Further information about the LIFE Space Mission can be found on our Website . Questions regarding the position and technical questions should be directed to Dr. Adrian Glauser , Co-PI and Technical Lead
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considered. Further information about the Laboratory of Energy Science and Engineering can be found on our website . Questions regarding the position and recommendation letters should be directed to Prof
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exclusively accept applications submitted through this online application portal. Applications via email or postal services will not be considered. Further information about Tethys Robotics can be found on our
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will begin on 23 February until the position is filled. Further information about the Planetary Geochemistry group can be found here . Questions regarding the position should be directed to Prof. Maria
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. Within the ITS section Scientific IT Services the group Computational & Data Science Support (CDSS) aims at bridging the gap between computational research and IT services and infrastructure provisioning