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developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural networks. The key challenge? Designing robust and stable numerical schemes that remain
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solution a serious computational challenge. This project aims to tackle that head-on by developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural
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, including Gaussian beam optics, acousto- and electro-optics. • Experimental with micro/nano-fabrication and clean room techniques • Experience with cryogenic experiments
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and multimodal perception/behaviors, generative diffusion models, cloud-based computer graphics, and neural rendering (e.g., neural radiance fields and 3D Gaussian splatting). The NYU ICL
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, Gaussian processes, discrete probability, extremal combinatorics Zlil Sela Geometric group theory, Model theory Ari Shnidman Number theory, arithmetic geometry, automorphic forms Evgeny Strahov Random
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frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation. Desirable: 4. Experience · Demonstrable ability to develop research proposals
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is for one year, with possible renewal up to three years. The successful candidate will: Creatively develop and perform ab intio simulations using software packages (e.g., VASP, Gaussian) to elucidate
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(e.g., Gaussian, ORCA) and periodic codes (e.g., VASP) is critical Considerable computational expertise in using quantum mechanical methods to calculate reaction mechanisms and kinetics in heterogeneous
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Leave Yes Sick Leave Yes Position Description Advertised Job Summary The postdoctoral associate will be responsible for developing theory of the quantum-trajectory based adaptable Gaussian (QTAG) bases