188 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"M.V" positions at ETH Zurich in Switzerland
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We look forward to receiving your online application including a: CV publication list statement of research interests and the names and contact information of at least two references. Please note
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60%-80%, Zurich, fixed-term Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to join
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, including data management and the maintenance of computational infrastructure and software. Project background The position is part of the Institute of Microbiology at ETH Zurich and closely linked
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. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
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100%, Zurich, fixed-term The Swiss Data Science Center (SDSC) and the WSL Institute for Snow and Avalanche Research (SLF) are seeking a PhD student for a Swiss National Science Foundation (SNSF
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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these effects both require very high resolution and long time series of data, making it computationally expensive. By leveraging findings from recent km-scale modeling and exploiting high-resolution idealized
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description Collection of technical information about fluoropolymer manufacture (scientific literature, technical reports, product reports by companies, patents, conversations with experts, etc.) from the field
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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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analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and