121 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"ETH-Zürich" positions in Switzerland
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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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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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infrastructure (e.g., software platforms, databases, laboratory automation, and computer-aided instrument control). Translating chemical research questions into IT-supported processes and computational solutions
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
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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Academic: Post Doc Position / Senior Scientist Workload (%) 80 % Workload (%) 0 weekly hours Industry Education / Culture Functional Area Chemistry / Pharma / Medical Engineering Salary CHF 0 / Entry date
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patient treatment. We (boecklab.com) are looking for a scientist who will define the computational backbone of this programme.
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. This international PhD is part of the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Your profile Qualification and specific competences required Master's degree
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., maintenance of lab records and study materials, participant recruitment, support relating to teaching). Your profile You are enrolled in a Bachelor program at the University of Basel, preferably in psychology
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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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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable