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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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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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techniques to secure these systems against novel network-level attacks. Key research objectives include the development of secure communication protocols, the analysis of vulnerabilities in peer-to-peer and
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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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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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goal is to enhance grid reliability, stability, and resilience under evolving energy system conditions. Key objectives include: Identifying and quantifying the essential grid services required
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resources for your research. Project overview The project aims to explore new catalytic processes for CO₂ hydrogenation as part of CCU. The objective of the project is to develop novel catalysts
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element simulations to create intelligent design tools Industry Collaboration and Utilization Work closely with startup partners to ensure research alignment with commercial objectives Participate in