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Project: APPEND – Digital Product Passport to Revolutionize the Furniture Industry The purpose of this project is to design, develop, and validate a DPP (Digital Product Passport) prototype within the…
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Project: Climate adapted forest management The proportion of private forest owners who adapt their forestry to a changing climate is increasing. Which climate adaptation measures are being taken in…
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Computational Mathematics for Predictive Digital Twins (PreDiTwin) In recent years, remarkable progress in mathematics, process-based modeling, data science, and sensor technology has opened up…
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Project: How useful is an acorn? Quantifying the plant available carbon in acorns using achlorophyllous oaks The size of the acorn is an important trait often linked to the well-being of young…
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Doctoral project: Enhancing MLOps architectures for efficient integration, deployment and inference of AI Models in diverse industrial settings This project focuses on advancing MLOps architectures to…
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Doctoral project: Document Classification and Entity Extraction Many aspects of accounting present difficulties in achieving full automation due to the abundance of unstructured information, such as…
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Project: TallBoard: Tall oil application in industrial fiberboards The aim of this project is to replace the fossil-based paraffin wax with a hydrophobic agent made from tall oil for manufacturing…
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Seed project: Exploring data and establishing routines for collaboration on energy experiments The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences…
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Seed project: Developing the Skeleton Avatar camera Technique (SAT) as a rapid, valid and sensitive measurement of mobility in elderly persons The main objective for this seed project within Linnaeus…
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Seed project: Smart-Troubleshooting in the Connected Society The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
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Seed project: Data-intensive tools for effective carbon mitigation in forestry The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
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Seed project: Analyzing state-of-the-practice for self-adaptive systems in industry using data analytics The main objective for this seed project within Linnaeus University Centre for Data Intensive…
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Seed project: Implementation knowledge as comissioned training - A step towards the national investment in Lifelong Learning The overall aim of this seed project within Knowledge Environment Linnaeus…
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Seed project: The interplay of big data and AI to monitor and manage the tourism destinations’ sustainability (TERESA) The main objective for this seed project within Linnaeus Knowledge Environment…
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Seed project: Gender, Entrepreneurship and Digitalization: Challenging Gender Inequality in ICT Higher Education The main objective for this seed funding project within the knowledge platform…
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Seed project: Data intensive analysis for identification and prediction of risk medications The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and…
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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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Project expert competence: Smart Industry, phase 2 The goal of the project is to develop courses at advanced level linked to Smart Industry based on the skills needs of industry. The project's target…