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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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directly to the AXA RF, they first have to submit a short proposal to the UZH Research & Grants Office. In case multiple candidates are interested to apply, the UZH Research & Grants Office has to pre-select
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design Interest in and comprehension of Earth system processes and environmental impacts Excellent communication and collaboration skills and fluency in English. Our offer We offer a dynamic and
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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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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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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
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this process who will provide you with guidance for the implementation, but independent work, in general, is required and appreciated. The workload consists of up to 15 hours per week during the semester. We