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proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
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of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Solid understanding of Linux kernel structures; - Experience
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; - Experience with Linux, Docker, and MongoDB technologies; - Experience with cloud technologies and deploying solutions on on-premise infrastructures Minimum requirements: - Knowledge of Software Engineering
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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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(e.g., Python, Fortran, and task automation in a Linux environment) (25%); ii) scientific output (e.g., published scientific articles, conference proceedings in the field of air quality) (25%); iii