168 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at ETH Zurich
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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applications for this job through MathJobs.Org right now. Please apply at https://ethz.ch/en/the-eth-zurich/working-teaching-and-research/faculty/faculty-affairs/ausgeschriebene-professuren/naturwissenschaften
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research at the forefront of computer science. Successful candidates should establish and lead a strong research program. The new professor will be expected to supervise doctoral students and teach both
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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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understanding of the aging of solid insulation under mixed-frequency medium-voltage stress, see https://doi.org/10.1088/1361-6463/acd55f for a relevant example research work of our team in this area. Profile
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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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) project, starting May 1st. This role sits at the intersection of applied machine learning, natural hazards, and snow/avalanche physics. The project is named Towards high-resolution, intelligent
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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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80%-100%, Zurich, fixed-term We are looking for a Research Engineer to join ongoing and future research projects at the intersection of machine learning, and structural design (e.g. trusses, space
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of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in