193 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at ETH Zurich in Switzerland
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work of high quality. We welcome candidates from all areas of Statistics and Data Science, broadly defined. The new professor will be responsible, together with other members of the department
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
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(tenure track) in computer science with focus on networking and distributed systems and special emphasis on data centers and cloud computing. Within these areas, topics of interest include protocol design
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environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
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novel setups and voltage/current sources dedicated towards the research question. Measured data is thoroughly analyzed with state-of-the-art theoretical models and published fully open access. The aim
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cultivation modalities (including continuous cultivation) and the collection and evaluation of system-wide transcriptomic and/or proteomic data. On the organizational side, the work will include
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encompass a breadth of organic geochemical approaches (GC-FID, GC-MS, HPLC-APCI-MS, HPLC-ESI-Orbitrap). In collaboration with the group of Sebastian Doetterl (https://soilres.ethz.ch/), additional soil
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at https://ethz.ch/en/the-eth-zurich/working-teaching-and-research/faculty/faculty-affairs/ausgeschriebene-professuren/naturwissenschaften-und-mathematik/APTT_Anorg_Chem.html . Contact: faculty-recruiting
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100%, Zurich, fixed-term The Swiss Data Science Center (SDSC) is seeking a PhD student for a Swiss National Science Foundation (SNSF) project, starting May 1st. This role sits at the intersection
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi