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digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
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. The current position deals with free-space optical transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
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algorithms to ensure seamless, reliable, and secure wireless communication in challenging and dynamic environments. The key responsibilities for this positions are listed as the following: Develop protocols
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algorithms in various projects. Contribute to the supervision of doctoral students and interns at the center. Participate in the training courses organized by the center. Work on collaborative projects with
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complexity theory, fast matrix multiplication algorithms, the geometry and representation theory of tensors, asymptotic spectrum duality, and applications? The research group of Jeroen Zuiddam at University
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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to the application deadline Experience from sea ice field work or polar expeditions Experience in work with oceanographic or meteorological data and models What you will do Apply, validate and improve algorithms
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and development of associated sensing and estimation algorithms Path planning based on medical imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots