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Success for hackathon with open science as a theme News
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Companies wanted to feature doctoral students in an industrial graduate school on big data News
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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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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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Welcome to the 11th annual Big Data Conference at Linnaeus University, in Kalmar, Sweden. News
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Angelos’ research attracted attention at international visualization conference News
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Researchers: The research on how a growing global population should be provided with food has been lacking a holistic perspective News
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Researchers create new calculation models for a more evidence-based debate about sustainability News
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New application can detect bot posts on Twitter in any language News
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Growing need for research and innovation in the post Covid-19 world News
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Seed project: Data-driven approaches for business model optimization The project aims to investigate Södra's readiness to adopt and implement a data-driven culture and to identify the pathways through…
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Project: Using past data to prevent future fractures Certain types of medication increase the risk of osteoporosis and fractures. In this research project, we develop a risk assessment tool which can…
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Project: Experiences of digital patient history recording The scientific purpose of this project is to investigate in what way the introduction of digital anamnesis and e-triage affect the quality of…
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Doctoral project: Digital Twin as a Service (DTaaS) This doctoral project targets to work on Digital Twin, with integration to data intensive sources.
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Seed project: Biosensor Testbed at the IoT Lab The objective of this project is to explore the potential applications of biosensors for the continuous monitoring and management of various health…
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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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Project: Tree volume measurement by AI The project is a collaboration between Sweden and Brazil with the goal to improve forest inventory efficiency in both Swedish and Brazilian forestry through a…
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Doctoral project: AI-powered patent drafting This project builds generative AI tools to improve the workflow of patent attorneys, driving innovation in patent drafting.