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Field
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simulation for physical systems. Strong foundation in mathematical modeling, simulation and quantum mechanics. High proficiency in scientific programming (Python, C++, MATLAB, or similar), with experience in
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PhD registration at Imperial College London. Experience in energy systems modelling, techno-economic analysis, or renewable energy integration Familiarity with modelling tools such as Python, MATLAB
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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expected to have experience in one or multiple of these skills: Atmospheric modelling, Analysis of atmospheric satellite measurements, Programming in Fortran, and Matlab or Python on Linux systems. To Apply
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, urban stormwater, and/or water reuse technologies · Experience with computer programming (e.g., MATLAB, Python, or R) · Experience with statistical and process-based modeling of water resources systems
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Strong programming skills in MATLAB Excellent written and verbal communication skills Positive and collaborative working attitude Excellent problem-solving skills Knowledge of PDE and computational methods
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courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication protocols (Modbus TCP, IEC
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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of the energy conversion and networks group in the Master course (25%) Grade in the power system protection course (25%) Experience in programming (25%) Experience in simulation with MATLAB/Simulink (25
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multiple output (MIMO) wireless connectivity. Very good understanding of communication theory. Strong command of mathematics and simulation in MATLAB. Proven track record of innovation supported by