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Field
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, and validated through simulation and experiments. For experiments, IDLab-UAntwerp's world-class research infrastructure, including GPU Lab, Software Defined Radios and programmable beamformers, as
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of individual nanostructures, with large-scale GPU-accelerated micromagnetic simulations developed within the group. The research is carried out within the DynaMat group at Ghent University. This group studies
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best practices. Experience*** in parallel processing (e.g., across GPUs) and multi-threaded application design is preferred. Experience*** with transfer learning techniques to leverage pre-trained models
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dedicated GPU-equipped computing workstation and data-storage resources; - access to molecular-modeling and chemoinformatics software; - resources for the acquisition and experimental evaluation
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for recruitment positions and for general criteria for the position. Preferred selection criteria Knowledge of in Norwegian/Scandinavian language Experience with GPU based systems Experience with HPC based
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for recruitment positions and for general criteria for the position. Preferred selection criteria Knowledge of in Norwegian/Scandinavian language Experience with GPU based systems Experience with HPC based
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-performance computing (HPC) clusters or cloud GPU instances. Analytical Rigor: Ability to design ablation studies to isolate the impact of individual loss components. Communication: Ability to clearly
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have access to substantial AI compute, including in-house state-of-the-art H200 GPU servers, alongside further capacity through the Norwich Data Centre and access to national-scale AI compute through
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bridging (e.g., JESD204C/eCPRI), and CUDA coding for GPU acceleration. Knowledge of RF calibration, test automation, and signal integrity in a research or prototyping context. Track record of peer-reviewed
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. Experience with embedded systems and hardware/software integration in a research or prototyping context. Experience with FPGA/RTL development and Xilinx tools, and CUDA coding for GPU acceleration. Knowledge