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candidates must be within numerical methods for ODEs and PDEs. A solid background in both the following fields is required: Numerical analysis for ODEs and PDEs Scientific programming using Python, MATLAB, C
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., Python, MATLAB, or similar languages) is advantageous. Knowledge of mathematical modelling, computational mechanics, or data science is considered an advantage. Interest in cardiovascular physiology
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in Matlab, Python, C/C++, Robot operating system (ROS) Personal qualities Personal suitability and good teamwork skills will be emphasized in the evaluation as well as relevant practical experience
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desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage. Experience with scientific programming (e.g., Python, MATLAB, C++ , or similar languages) is advantageous
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, preferably using MATLAB and/or Python. Good written and spoken English. Applicants not exempt from NOKUT requirements must document English proficiency (TOEFL or IELTS). TOEFL - Test of English as a Foreign
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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is a requirement. Such experience may have been obtained through academic coursework, research projects, or professional employment. Experience with scientific programming using Python, R, Matlab
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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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the master's degree has been awarded Solid background in mathematics and physics is a requirement Experience in scientific programming (e.g., Matlab, Python) is requirement Experience in statistical analysis
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modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous