39 bayesian-object-detection positions at Chalmers University of Technology in Sweden
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University of Gothenburg. You will explore how Bayesian methods can enable risk-aware, real-time trajectory planning and contribute to the development of autonomous vehicles that are both safe and trustworthy
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reimagining what excellent higher education in engineering and science can and should be. The aim and objectives of the EER division can briefly be described as: To foster an inspiring and safe academic
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the robot to improve over time by gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as
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the use of X-ray techniques through a project focusing on X-ray tomography, opening up for 3D characterization of materials developed in FibRe. In particular, the objective is to through X-ray imaging study
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for autonomous shipping in restricted waterways. A database of model examples has already been developed, and your work will build upon and refine these models to meet the project’s objectives. Collaboration is
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, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers here . Application procedure For information about the application procedure, please
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diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general
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equality projects, such as the GENIE Initiative for gender equality and excellence . If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general
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activities. If you want to learn Swedish, Chalmers offers Swedish courses to help you settle in. Discover more Find more general information about doctoral studies at Chalmers here . Join Our Team We
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heterogeneity in chemically modified cellulose fibers and in pharmaceutical formulations. The objective is to establish NMR-based methods that quantify radial modification profiles and heterogeneity, and to