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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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-economic study, design and analysis of integrated systems. Experience with energy system modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis
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Atlantic salt basins is an advantage. Experience in programming (Python, Matlab, Fortran) is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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modelling physics of water flow map data will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement
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with salt tectonics is an advantage. Experience with the South Atlantic salt basins is an advantage. Experience in programming (Python, Matlab, Fortran) is an advantage. Applicants must be able to work
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). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g. Cantera or CHEMKIN. Background in compressible flows and applied
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advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g
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languages (e.g., Python,MATLAB, Fortran, C++). Strong analytical skills and capabilities in data processing and mathematical modelling are required. Experience with weather or climate models is an advantage
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. The candidate must have strong programming skills in one or more languages (e.g., Python,MATLAB, Fortran, C++). Strong analytical skills and capabilities in data processing and mathematical modelling are required