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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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- 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 42 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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The successful candidate will have an outstanding academic track record and a strategic vision to develop an ambitious and innovative research program. The ideal profile is that of a researcher able to propose
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The IOB PhD and MD-PhD Program on Translational Visual Neurosciences offers a unique opportunity to make breakthrough discoveries in the function or dysfunction of the eye and the visual brain, as
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vision for developing an ambitious and innovative research program. The University particularly values profiles capable of contributing to interdisciplinary excellence, in connection with UNIGE's strong
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through the use of advanced 3D Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to implement physically-based garment
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research in Orthopedic Computer Science, University Of Zurich PhD Student in