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Results 1-18 of 55
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Seed project: Using Artificial Intelligence to Detect Acanthamoeba Keratitis in the eye - the AIDAK study Applicants The overall objective of the research for this seed project within Linnaeus…
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Industrial doctoral student conducts research from the factory floor News
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Seed project: Digitized ancient remains detection The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to explore if…
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Increased growth potential for companies in the Linnaeus region through new project using artificial intelligence and high-performance computer programs News
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New research aims at improving the selection of Internet services for service consumers News
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More than 400 contributions to digital education competition for young Europeans News
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The first doctoral student at Data Intensive Sciences and Applications is in place News
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The SciChallenge project was presented at the Swedish Zoo Association's R&E conference News
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International project to attract more young people to science and research News
- Felix Viberg
- felixviberglnuse
- Nemi Pelgrom
- nemipelgromlnuse
- Tibo James Liam Bruneel
- tibojamesliambruneellnuse
- Jonas Lundberg Associate professor
- +46 470-70 89 67
- jonaslundberglnuse
- Sebastian Hönel Associate senior lecturer
- +46 470-70 81 45
- sebastianhonellnuse
- Dag Björnberg
- dagbjornberglnuse
- Welf Löwe Professor
- +46 470-70 84 95
- +46 76-760 36 62
- welflowelnuse
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Project: HPC for SME The aim of the project is to provide small and medium-sized enterprises (SMEs) in the Linnaeus region with the opportunity to enhance their data-driven capabilities with the…
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Doctoral project: RUL prediction based on historical battery cycle logs This project aims to create a workflow with diverse machine learning algorithms to simulate battery remaining useful life (RUL)…