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and simulation using tools such as MATLAB/Simulink, DIgSILENT PowerFactory, OpenDSS or equivalent programming in Python, MATLAB or similar languages optimisation, control theory, machine learning
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analysis, including time-domain, spectral, and statistical analysis; Programming experience in C/C++ and Python; Knowledge of development in an embedded Linux environment; Experience producing scientific
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analyses; Familiarity with mass spectrometry data and microbial identification; Experience with Python for data science. EVALUATION CRITERIA The selection will be based on the following criteria: 50
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of digital signal processing and data analysis; Knowledge of applied mathematics, statistics, and estimation; Knowledge of scientific programming in Python and/or MATLAB; Programming experience in C/C
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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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to calculate your points for admission. Emphasis is also placed on your: expertise in software tools related to simulation/optimization of energy systems, and coding using a high-level language (e.g. Python