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, electrical engineering or biomedical engineering. Other degrees can also be considered given that the candidate has formal competence in computing. Matlab/Phython programming Gitlab/Hithub or another relevant
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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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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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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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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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languages such as Python/Matlab/C++, and knowledge-based skills on Electrical and Mechanical Systems. Priority would be given to candidates that possess relevant industry experience. Selection process
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electrical engineering, Computer Science, or any other relevant subject. Specific skillsets include programming skills such as C and Matlab, and experience with Amazon Cloud. Priority would be given
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.; - MSc dissertation thesis topic in robotics.; - 4 or more scientific publications relevant to the research topic. Minimum requirements: - programming experience in C++, Matlab; - demonstrated experience
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Academic record of the candidate and interest in the topics of the call Past experience in implementation of laboratory setups Experience in simulation with matlab/simulink Experience with the OPAL-RT system
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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