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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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AI4Science project, specifically focusing on the intersection of advanced machine learning and sustainable catalysis discovery. The primary incentive of this Postdoctoral Fellowship is the chance to contribute
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Molina García Pardo . Keep in mind that supervisors are not allowed to get involved in the project proposal preparation. Context: The advances in sensor and information technologies, coupled with increased
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strongly recommended. • High Performance Computing. • Experience with High Throughput Calculations will be valued but it is not essential. • Previous knowledge of Density Functional Theory (DFT) and
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this position, you will apply advanced electron microscopy techniques, including STEM to investigate the structure and behaviour of catalytic nanomaterials critical for green hydrogen and energy technologies