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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Previous experience (or academic training) in Machine Learning; - Ability to work independently
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Past experience (or academic training) with energy data analysis and optimization; - Experience
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, Electrical Engineering, Data Science, Data Analysis, Statistics, or related field. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher
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). The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with using GitHub
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Electrical Engineering or similar The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - experience
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - knowledge of wireless networks; - knowledge of Artificial Intelligence models.; Minimum
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Knowledge of data compression and/or deduplication techniques. Minimum requirements