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with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our
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proprioceptive technologies, and controlling the hand through sophisticated control algorithms and machine-learning techniques. Job description The doctoral research will be multidisciplinary, involving
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(ETH Zurich, EPFL, etc.) Valid working permit in Switzerland Strong experience in Android Studio and Java Computer systems and network understanding (Linux-based systems) Knowledge of data management
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sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations
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, numerical simulations and experimental implementation of pulse sequences Have experience with computer simulations and programming We offer ETH offers an exciting opportunity to work at the forefront
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in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
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tools and in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis
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Research. The project is in close collaboration with the Computer Graphics Laboratory at ETH Zürich (Prof. Barbara Solenthaler PhD) who develops a fully virtual infant face and head model. The project will
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18 Apr 2024 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Biochemistry Chemistry » Other Physics » Biophysics Researcher Profile Recognised Researcher (R2) Country
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machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In