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that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant for your further career. Large language models (LLMs) are today a central
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and optimisation algorithms, focusing on their practical application in the context of the RaceEngineerAI project. Tasks include: - Developing models capable of simulating the behaviour of racing
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pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post
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activities will be developed in the Power Electronics area, focusing on programming control algorithms on a Xilinx FPGA. This project aims to implement internal fault tolerance in a power electronics
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work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through
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development and be an attractive and inclusive place to study and work. PhD Research Fellowship in medieval and early modern Hanseatic history The Department of Archaeology, History, Cultural studies and
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: neuromorphic algorithms, machine learning, classifier development, AI programming Key tasks include experimental and/or computational research, collaboration within the project team, publishing results in high
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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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within a Research Infrastructure? No Offer Description A tender is hereby open for the award of 2 (two) Starting Research Grants, with public notice 107/2025/BII/AgendasPRR, for development of scientific
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Postdoctoral Fellowship in Development and Characterization of Organic Membranes for Applications in Electrodialysis and Capacitive Deionization Systems The CBS department of the Mohammed VI