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approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17
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water management, with a focus on coupled surface-groundwater modeling, and examining how climate change and human interventions in catchments (such as forest restoration, surface water management
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nonlinear, ultrafast, and integrated photonics. Develop predictive theoretical and computational models for optical materials and photonic devices. Perform numerical modelling and simulation of optical
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experiments Perform high-speed optical and thermal diagnostics Simulate electric fields and develop mechanistic models Publish high-impact research outcomes Job Requirements: PhD in a relevant engineering or
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infrastructure. To close numerous knowledge gaps and address technological bottlenecks in hydrogen safety the use of cutting-edge modelling and simulation tools is needed. It is recognised that the most advanced
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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Simulation) will support a one-year applied research project and evaluate a mobile DC microgrid for military tactical applications. The role involves developing detailed power system models in ETAP and MATLAB
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programs emphasize technical expertise and the interdisciplinary applications of computation, modeling & simulation, and data-driven discovery. Complementing its educational mission, CDS faculty develop
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: Set up a high-fidelity end-to-end simulator for the Drag-Free Attitude and Orbit Control System. Set up a linear modelling framework for frequency domain design and verification using linear fractional