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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
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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to circular economies. As part of this mission, we are offering PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL‑DBE). The SDL‑DBE develops and applies multiscale models, AI-enhanced
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the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. Hydrodynamic and Fluid Structure Interaction Modeling Perform Hydrodynamic simulations
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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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large-scale numerical simulations to design a laser-based optical system capable of efficiently generating electron-positron pairs through the collision of structured laser pulses. The research liesat
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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these insights with larger-scale soil and plant models. Perform molecular dynamics simulations to investigate interactions between soil organic matter (SOM), extracellular polymeric substances (EPS), water, and
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or graduate student. ● Experience working with high school students and faculty. ● Experience with Model UN or National Museum of American Diplomacy simulations. ● Supervisory and/or