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atmospheric/environmental sciences, physics, computational science, engineering or a related field A background in numerical modelling, statistical data analysis and/or programming skills is highly encouraged
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, electrical engineering, a natural science, medical, or related field Experience in scientific research, ideally in the area of machine learning and/or data science Strong organizational skills and an
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technical independence from previous versions, establishing a fresh patent portfolio for V2.0. Technical Coordination: Work in a tandem with the Lead Mechatronics Engineer to synchronize hardware development
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Moor's lab email: michael.moor@bsse.ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find
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advances, a multiscale understanding of how mechanical information is generated and integrated in complex multicellular systems remains limited. Progress in the field requires the development of engineered
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reservoir engineers involved in the CCS pilot study Presenting and publishing your results in international conferences and peer-reviewed journals The project will be supervised by Dr. Cédric Schmelzbach, Dr
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technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university
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90%, Basel, permanent The Laboratory Automation Facility (LAF) is a central research and service platform within the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zurich
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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