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Results 271-288 of 392
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Master's Thesis Course 15 credits
- Spring 2026
- Växjö
- Master’s level
- Half-time
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Video production 2 Course 7.5 credits
- Autumn 2026
- Växjö
- Bachelor’s level
- Half-time
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Video production 1 Course 7.5 credits
- Spring 2026
- Växjö
- Bachelor’s level
- Half-time
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Programming for Digital Humanities Course 15 credits
- Autumn 2026
- Distance
- Master’s level
- Half-time
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Seed project: User performance data from a video-based application/platform The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
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Seed project: Vibration-based strength grading of sawn timber 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: Towards a data-driven approach to ground-fault location The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is…
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Seed project: ODXVR x NTS The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to submit an external funding application.…
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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: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
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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: Using Natural Language Models for Extracting Drug-Related Problems (NLMED) The overall goal of the research in this seed project within the Linnaeus University Center for Data Intensive…
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Seed project: Investigate Machine Learning Techniques for Decision-Making Support in K-12 Educational Context The main aim of this seed application is to investigate the use and application of Machine…
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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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Smarter Systems We want to build systems that are a little smarter, that is, systems that make decisions independently and adjust to become a little better at solving their tasks. Our research and…
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VRxAR Labs The VRxAR Labs research group is exploring interface design for Mixed Reality environments, such as Virtual and Augmented Reality.
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Smart Industry Group Smart Industry Group (SIG) is an interdisciplinary research group featuring expertise from computer science and mechanical engineering. SIG's focus is making production and…
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Farid Edrisi Doctoral student
- +46 470-70 81 59
- faridedrisilnuse