480 embedded-system "https:" "https:" "https:" "https:" "St" "St" positions in Switzerland
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Your position The goal of the project is to understand the cause of multiple sclerosis, focusing on the interactions between autoreactive B cells, the lymphotropic virus EBV, and the cellular
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. Empa is a research institution of the ETH Domain. For an applied research project, we are seeking a highly motivated Postdoc interested in the development of a hybrid AM manufacturing process for silicon
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What will be funded? The applicant’s salary Materials (on a limited scale) The maximum duration of project funding depends on the faculty at which the project is carried out. Faculty of Theology and
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When submitting an application for a research visit, the person employed in Switzerland is the only applicant. For a scientific event, co-applicants are allowed, but they must fulfill the same
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are offering a PhD position and a postdoctoral position. Project background The project RadiantDx is a multidisciplinary, collaborative project that addresses the diagnosis of sepsis. Sepsis is a severe health
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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possible longer term perspective at ETH. We specialise in the study of the interiors, atmospheres and evolution of terrestrial planetary bodies, both in our Solar System and beyond. The institute runs a wide
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regarding the position should be directed to Daniel Schoess, email dschoess@ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort
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. Empa is a research institution of the ETH Domain. Our group of Biosensing and Functional Surfaces focuses on the studying the role of protein aggregation in dementia progression using nanoscale analytics