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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
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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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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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20 Feb 2026 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Electrical engineering Physics
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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer
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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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networks Publish results in peer-reviewed journals and present at scientific conferences Co-supervise MSc, BSc, and PhD students and contribute to teaching in the Forest and Landscape Management program
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within the ETH environment and in national and international RDM networks. Profile PhD in natural sciences, engineering, computer science, or comparable fields Several years of experience in research data