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-dimensional Bayesian inverse problems for image reconstruction and chemical reaction neural networks with sparsity-promoting (and edge-preserving) priors, including diffusion-based approaches. Neural solvers
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quantification. The specific project will be tailored to your expertise and interests; examples include: Efficient inference techniques for high-dimensional Bayesian inverse problems for image reconstruction and
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ecology & physiology, generative models, artificial intelligence-based image super-resolution, and three-dimensional reconstruction. The scholarship is full-time for two years with a start date of February
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https://www.lunduniversity.lu.se Street Paradisgatan 5 Postal Code 221 00 E-Mail karin.falth@hr.lu.se Phone 0703258022 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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staff position within a Research Infrastructure? No Offer Description Your team NanoMAX is currently the only hard x-ray nanoprobe beamline at MAX IV. It is primarily designed for imaging and scattering
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of TechnologyCountrySwedenCityStockholmPostal Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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Royal Institute of TechnologyCountrySwedenCityStockholmPostal Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter) Facebook
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) Number of offers available1Company/InstituteKTH Royal Institute of TechnologyCountrySwedenCityStockholmPostal Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code
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the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org ) in Stockholm as a Research engineer. The position focuses on the investigation of different cellular process with super-resolution