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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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offers opportunities to participate in teaching and student interaction at both undergraduate and master's level. The project focuses on organic micropollutant removal from wastewater in biological
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to participate in teaching and engage with students at both undergraduate and master levels. The project centers on microorganisms that oxidize methane and reduce emissions of this potent greenhouse gas from
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. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Machine Learning, AI, or data science-relevant research
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steer-by-wire technology. You will: Participate in the development of a new prototype vehicle Use accident statistics to derive test cases Develop strategies and algorithms for shared control Conduct
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materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models to study reaction kinetics and improve catalyst
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correctly. Project description The goal of this PhD project is to develop techniques for the design and verification of assured ACPS with a focus on runtime assurance. You will develop theory and tools