249 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions in Switzerland
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, molecular engineering, manufacturing and marketing. For HydroCow, we are building on an earlier developed ultra-high-throughput screening platform that allows for the rapid identifying of improved industrial
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technology development. The lab combines cutting-edge methods such as functional two-photon microscopy, high-density neuropixels electrophysiology and spatial biology research, alongside computational analyses
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any discipline wishing to pursue research at any Swiss cantonal university, university of applied sciences, either of Switzerland’s two federal institutes of technology (ETHZ or EPFL) or at one
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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 for our excellent education, cutting-edge
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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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to commercial-grade systems, we are seeking a visionary Lead Mechatronics Engineer to drive the design and development of the V2.0 system in tandem with the Lead Architect. This role is part of a strategic hire
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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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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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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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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy