36 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Hereon" positions at Linköping University in Sweden
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up
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/rt . For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted to the program for doctoral studies. More
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world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up
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collaborations both with industry and other research groups around the world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about working at ISY, please visit
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. Information about the workplace: https://liu.se/en/organisation/liu/ifm https://liu.se/en/research/m2lab The employment This employment is a temporary contract of two years with the possibility of extension up
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
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for the division is the Visualization Center C, a unique science center in Norrköping that engages the public through data-driven installations and 3D fulldome experiences. Read more at http
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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
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uncertainties. Determining how to account for these uncertainties leads to research questions spanning from data collection and estimation to model representations and optimization algorithms. In the field