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, signal processing, wireless/optical communications, and communication system engineering Extensive experience in physical layer algorithm design and performance analysis Proven track record of publications
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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI, or sociotechnical systems. Strong programming and data analysis skills are essential. Preferred qualifications
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analysis of resilient and sustainable geotechnical systems using centrifuge modeling. The work will bridge advanced experimental testing with complementary numerical simulation to generate insights
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and performance analysis, Proven track record of publications in relevant IEEE journals and conferences, Strong verbal and written skills in English, Excellent analytical and problem-solving skills and
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure
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crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based on powder diffraction, neutron diffraction, or scattering data will also be
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uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping skills. Strong analytical and communication skills; ability to work both
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research project focused on advancing the design, testing, and analysis of resilient and sustainable geotechnical systems using centrifuge modeling. The work will bridge advanced experimental testing with