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of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior scientists aimed at excellent science
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Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous. Experience in coding (e.g., Python) and in the use of Structural
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problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results
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include developing efficient code in Python and Julia to perform numerical optimization of control fields that govern the evolution of the photonic quantum information processor. This includes adaptation