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be conferred. If the degree is not conferred by this projected date, the postdoctoral appointment may be terminated. 2. Note for international candidates: Generally, immigration classifications (e.g
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-based or LiDAR-inertial SLAM, high-accuracy point cloud mapping, or scan-to-scan registration. Experience with ROS 2 navigation stack, lifecycle-managed nodes, TF2, rosbag workflows, and distributed
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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
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Sweden. About the position The project particularly aims to advance knowledge of the diversity, distribution and biology of a diverse group of conspicuous fruitbody-forming fungi – the waxcaps and allied
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-design the power stage and its insulation system for safe MV operation, using FEM analysis of electric-field distribution, dielectric stability, and breakdown to guide topology selection, dv/dt management
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resilience in next-generation energy system digital twins. The position offers hands-on research using real-world utility data and community partners to support an equitable, data-driven energy transformation
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should have experience with immunology and are comfortable working with mice and/or patient samples. In addition, candidates with research experience with bioinformatics and next-generation sequencing
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified
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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data
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computing), EMT simulations, and power electronics control. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models for transmission or distribution grids, synchronous generators, large