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on Facebook. If you have any questions regarding the application process, please feel free to contact us at makerspace@sph.ethz.ch . We would like to point out that the pre-selection is carried out by
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from diffusion tensor imaging of the heart along with all parameters determining the measurement process itself. Job description The position to fill concerns advanced data synthesis (both via machine
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the platform’s effectiveness through a randomized controlled trial and are in the process of founding a non-profit start-up to ensure the sustainable impact of Path2Work. The project is being developed in close
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efficiency, particularly with respect to latency. Project background The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted
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be based either within the Department of Mechanical and Process Engineering or the Department of Mathematics at ETH Zurich, dependinhg on the candidate's background and preferences. Profile A masters
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. Knowledge of water treatment processes is desired, but not necessary. Good knowledge of English (spoken and written) is essential. Applicants should hold a MSc degree (or equivalent) in environmental
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, manufacturing, quality, and regulatory affairs. This individual will be part oft he leadership team and collaborate closely with the executive team to build scalable processes and ensure that our products
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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100%, Zurich, fixed-term Prof. Dr. Kent Warren , head of the Solar Energy Engineering Laboratory in the Department of Mechanical and Process Engineering at ETH Zürich, invites applications for a
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100%, Zurich, fixed-term Prof. Dr. Kent Warren , head of the Solar Energy Engineering Laboratory in the Department of Mechanical and Process Engineering at ETH Zürich, invites applications for a