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analysis, including handling complex databases Essential Application/Interview Proficiency in computational modelling software and tools being used for simulation of non-invasive brain simulations Essential
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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nm optical microscopy." Optics Express 21(22): 26219-26226, 2013. http://dx.doi.org/10.1364/Oe.21.026219 Optics; Semiconductors; Ultraviolet; Electromagnetic simulations; Lasers; Nanoscale
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with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead of time-consuming simulations to evaluate scenarios for improving the user experience along cycling and
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proceed with the definitionand numerical implementation of the models for the simulation of the magnetic, electrical, thermal, and mechanical behavior of these devices. Appropriate experimental setups will
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in power electronics systems and components, Multi-physics modeling using open-source simulation environments (e.g. FastFieldSolvers, Elmer, PyPEEC, MEEP), Circuit simulation using open-source tools
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fields in cosmic voids and filaments. The candidate will reduce model uncertainties by producing new large cosmological simulations of the magnetic outputs from galaxies in the ENZO code, which will test
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and remote sensing datasets for model validation. Develop new functionalities in the Community Land Model (CLM) within CESM. Conduct model simulations to investigate how the tropical atmosphere responds
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photogrammetric data Design procedural modeling frameworks for district- and campus-scale built environments Produce interoperable assets (e.g., 3D Tiles, glTF, FBX) supporting downstream simulation platforms
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision