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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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application! We are looking for a PhD student in automatic control. Your work assignments You will work on a project on data driven control. In recent years, data-driven control in high dimensions has
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(Sensor Informatics and Decision-Making for the Digital Transformation). Read more about the Competence Center here: https://liu.se/forskning/seddit . The focus of this specific PhD project is to explore
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part. Your work may also include teaching or other departmental duties, up to a maximum of 20 percent of full-time. Your qualifications You have have graduated at Master’s level in Computer
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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of automatic control, one must also consider stability and performance under feedback control. This research is conducted within the framework of the SEDDIT competence center. As a PhD student, you devote most
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2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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fast-paced research environment, a structured and organized approach is highly valued. You will work in a team of researchers from diverse backgrounds, including PhD students and postdocs, and should
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
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for radio transceivers, validated through measured and verified state-of-the-art performance. Results are expected to be disseminated through high-impact international journals and leading conferences in