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as instructed. Purpose As a part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to ground deformation assessment and numerical modeling of ground
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Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential equation models for Epstein–Barr Virus (EBV
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programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience with unbalanced distribution system analysis tools (e.g., OpenDSS, Cyme, Gridlab-D, PowerModelsDistribution.jl) Experience
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fuels (hydrogen, methanol, ammonia), simulation tools for marine engines and/or fires due to fuel leakages, data analysis methods and their applications for ships, sufficient understanding of appropriate
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Physics Group at Princeton University.The successful candidate(s) can play a major role in one or more of the following: 1) analysis and publication of Energetic Neutral Atom (ENA) and other observations
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
, including hands-on experimental experience and data interpretation (must-have) # Experience in spectroelectrochemistry or advanced electrochemical analysis (desireable) # Experience in the synthesis and
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analysis, and infrared thermography. Industry-wise, the focus is on cooperation with companies from the automotive, aeronautic, and energy sectors. Our main location is in Garching near Munich. YOUR TASKS
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Posting Title Researcher II/III: EMT Modeling, Simulation and Analysis for Large-Scale Power Systems . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
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). ----------------- Although it is not essential, experience or knowledge in some of the following areas will be positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in