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Field
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must be met no later than the time the employment decision is made. At least three of: (stochastic) partial differential equations ((S)PDEs) graph theory/network science stochastic optimization and
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with analytical modeling, reduced-order models, numerical simulation, finite element methods, optimization, or statistical-mechanics-based approaches. Proficiency in one or more programming languages or
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Systems and/or Optimization Theory. Preferred Qualifications The postdoctoral Research Associate is preferred to have experience with hardware-in-the-loop validation. The postdoctoral Research Associate is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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; • Integration of Genomic Prediction and Crop Growth Models; • Genomic prediction & GWAS optimization; • Publication of scholarly works; • Occasional grant writing; • Occasional graduate student mentoring
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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, optimization theory, information theory
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-transfer printing. You will be responsible for: Developing novel fabrication methods for solid laser waveguides (e-beam lithography / dry-etch optimization / thin-film development) Testing and characterizing
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/ dry-etch optimization / thin-film development) Testing and characterizing on-chip solid-state lasers Modelling and design of PIC narrow linewidth CW lasers for trapped ion/cold atom/color center quantum