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. Computational Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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algorithm-hardware co-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models
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design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal processing
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join the Space Systems Engineering group at TU Delft and
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27 Mar 2026 Job Information Organisation/Company Instituto Pedro Nunes Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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27 Mar 2026 Job Information Organisation/Company Instituto Pedro Nunes Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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modelling of inorganic solid electrolyte or other energy materials is desired. • Well-equipped with different tools of materials modelling. Prior experience of computational modelling of functional
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on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas