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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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Tissues for Urethral Regeneration and Translation.” https://www.strong-ur.eu/ . The successful candidate will have substantial hands-on experience with isolation of mesenchymal stem cells and the biological
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. The position is a three-year role, located in the Department of Computer Science at Aalborg University's Technical Faculty for IT and Design. In addition to the Department of Computer Science, the project
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs
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Systems Analysis and Synthesis https://www.cs.aau.dk/research/research-groups/quantum-systems-analysis-and-synthesis-qsas The Department of Computer Science features a broad range of synergistic activities
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collaboration with industrial and academic partners; access to advanced RF laboratory and high-performance computing facilities; and active contributions to publications, grant applications, and broader project
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computing infrastructure; and active contributions to publications; grant applications; and broader project activities. Your competencies You have a strong research background in software-defined radio, edge
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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contributes meaningfully to the broader scientific field. Your competencies The successful candidate should have excellent grades, strong mathematical and simulation skills and problem-solving mind-sets. It is