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1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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. Empa is a research institution of the ETH Domain. In our research group, we transfer membrane and encapsulation strategies from academia to industry. Solution-based processes like electrospinning and
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project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant material coatings. Your tasks You will work on basic science topics as well as on applied
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scientists, natural scientists and to engage with students, policy makers, and publics on ethical, social and political aspects of digital technologies and society. Broad knowledge of the topics, theories and
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
, especially in light of climate change. Assessing soil functions relies on field investigations; however, these have to be complemented with Digital Soil Mapping (DSM) approaches to provide meaningful soil
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for Engineering Design The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering invites applications for a Post-doctoral position in
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to be removed surgically. This formation of bone in soft tissue is the result of an osteoinductive process during which stem cells are differentiated into bone cells. This property is essential to treat
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, entitled "Patient-specific hydrogelbased corneal augmentation for vision restoration" is to restore the vision of patients by using an advanced optical system capable of preparing and processing the cornea.
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, for a Postdoc in climate impacts on hydrological extreme events 80-100% (f/m/d) You will develop data-driven and/or process-based models to assess climate impacts on extreme events, their drivers, and/or