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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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multidimensional spectroscopy, ultrafast two-dimensional (2D) spectroscopy, and/or the development of advanced optical and spectroscopic instrumentation. ● Hands-on experience with ultrafast laser systems
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of the position is to advance the theoretical and computational mechanics of soft solids under coupled physical environments. The position is situated within a sponsored research program on the finite-deformation
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alloys and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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. The project is expected to lead to significant technological progress and high-impact scientific publications in the areas of ultrafast and nonlinear optics. The work will be conducted in a special environment
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, Aerospace, or Civil Engineering, Engineering Mechanics, or a closely related field by the appointment date. The position is best suited for individuals with a strong background in nonlinear dynamics and
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of Oxford. The project will explore the interaction of light with functional materials at the nanoscale, with a particular focus on antiferromagnetic and ferroelectric oxides, nonlinear optical phenomena, and
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difficult to access on near-term quantum hardware. The difficulty is that the relevant Hilbert spaces grow rapidly, the dynamics are non-Gaussian and nonlinear, and the circuits must be mapped carefully