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, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep learning for wireless communication problems, particularly in areas such as spectrum management
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Creating and validating digital twin architectures that incorporate physical laws and constraints Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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optical measurement setups, including the design and execution of channel sounding or propagation measurement campaigns Experience with RF/optical ray tracing simulation software, e.g., Wireless Insite
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing
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) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable research experience in conducting experiments for field robotic systems Proficient programming
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papers (and/or under review) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable research experience in conducting experiments for field robotic
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preferred: the development of computational models to represent structural performance using commercial and research software tools the development and validation of neural network models focused
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-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics. The group will be contributing to the Physics Modeling (MC software, MC
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of cardiovascular medical devices, non-invasive imaging modalities such as echocardiography, and computational flow simulation software), are required. For consideration, applicants need to submit a cover letter