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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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; (ii) teaching university-level computer science courses in the following subjects: Data Structures, Algorithms, Operating Systems; Formal Languages and Automata, and Network Security; (iii) advising
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multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid approaches for next-generation fluid simulations. Who we
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. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine
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. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine
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and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories
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This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design
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battery technology research: https://www.youtube.com/watch?v=laPjbVujBKM&t=5s Electric vehicles: https://www.vttresearch.com/en/ourservices/electric-vehicles Batteries: https://www.vttresearch.com/en
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includes implementing and testing machine learning algorithms on quantum control tasks such as state preparation and qubit reset. You will gain hands-on experience with machine learning techniques and their
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research related responsibilities. Other duties as assigned. In addition to the duties described above Design and implement advanced algorithms to support research projects. Work alongside Technology Lead