486 systems-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Switzerland
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. Participation in the interdisciplinary training of the ENDOTRAIN network is mandatory, including workshops, retreats, transferable skills courses, and cohort-wide meetings across Europe. Specific tasks may
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out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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anatomy of the central nervous system. Work will involve both patient samples and experiments with live animals. Experimental methods include molecular and cell biology, flow cytometry, histology and
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We are looking for a highly motivated postdoctoral researcher with a strong background in electrical engineering and hardware-software co-design to join our interdisciplinary research team at D-ITET
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100%, Zurich, fixed-term ETH Zurich’s new Political Economy of Technology (PET) group at the Department of Humanities, Social and Political Sciences , led by Prof. Dr. Lukas Fesenfeld, is seeking a
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. Empa is a research institution of the ETH Domain. We offer an opportunity to join an exciting project at our Structural Engineering Laboratory , within the Advanced Structural Materials and Systems (ASMS
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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to the Master programme ‘Environmental Biology’. The University of Fribourg is a bilingual university (French and German). Knowledge of the second language (oral level B1) is expected. If this requirement is not
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, with deep experience in appearance reconstruction and material modeling. Required Qualifications MSc in Computer Science or related field Strong background in computer vision and/or computer graphics