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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning
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(SaS) and Open Simulations (OpenSim) research units are looking for a PhD candidate to actively participate in the 6G-TENET project (Trustworthy Open 6G Telco Automation). We are looking for a highly
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supervise under- and/or post-graduate students. It is meritorious if you have: a PhD degree that has been obtained no more than 2 years before the deadline for application. hands-on experience in combustion
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application! We are looking for one or more PhD student(s) to the Division of Communication Systems at the Department of Electrical Engineering (ISY). Your work assignments Much of the traffic in 6G networks
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software architecture. Drive research and development of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and
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the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based
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. ? Prepare written reports (e.g., manuscripts, grants, patents) and presentations for meetings. ? Opportunity to teach and mentor junior team members. Requirements ? A PhD in Bioinformatics, Computer
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, and inline interpretation. The work includes validating algorithms on a lab-scale sorting setup and linking spectroscopic outputs to recyclability scoring and Digital Product Passport data flows. Your
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implement a software engine that automates fault model generation, evaluation, and management. Design and implement advanced test generation methodologies (e.g., test algorithms, Design-for-Test (DfT), Memory