213 requirements-engineering-"https:"-"https:"-"https:"-"C.N.R" positions at ETH Zurich
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requirements into robust implementations. Our work follows established engineering and data best practices , with a strong focus on reproducibility, maintainability, interoperability, and production readiness
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screening platforms, with a focus on skin tissue models, including fibrosis. We are embedded within the Tibbitt group, in the Macromolecular Engineering Laboratory . Project background The glycocalyx is a
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supervision under the umbrella of the Chair of Technology Marketing, D-MTEC Profile Essential requirements: Excellent written and oral communication skills in English Master’s degree that blends managerial
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technology, are improving supply chain management capabilities. We are looking for a Ph.D. student to take responsibility for creating and disseminating new knowledge in supply chain management in areas
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, Earth Sciences, Physics, Engineering, or a related field Strong quantitative and analytical skills as well as programming skills (Python required; experience with seismic data processing is advantageous
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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Required Experience: PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field Proven experience in GNSS data analysis and processing Very good programming skills (e.g., Python
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to the next stage. After the formulation of an initial mission baseline description, mission requirements, and recent successes with the ETH-owned laboratory testbed, the completion of a full mission concept
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to bedside: develop technology and methods close to the need of patients Development of personal skills including writing, presentation and project management Possibility to work with and supervise students
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100%, Basel, fixed-term We are developing so-called lab-on-chip technology (or microfluidic technology) for applications across the life sciences and biomedicine. Our interdisciplinary approach