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requirements: The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Previous experience in
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - experience in em Agile, DevOps, Arquitectura de Software e Cloud Computing. Minimum
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-award courses of Higher Education Institutions. Preference factors: Enrolled in dissertation, project, or another course unit leading to the thesis writing.; Grade average above 16.; Proven practical
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studies. Subsequent data analysis, as well as writing articles and possible participation in conferences, will also be part of the activities. 4. REQUIRED PROFILE: Admission requirements: Master's degree in
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of Higher Education Institutions. Preference factors: • knowledge of heat transfer and PCM thermodynamics; • knowledge of optimisation and control (LP/MILP/NLP, MPC); • knowledge of HVAC/heat pumps
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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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The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Frequency of a master in Computer
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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with power capping mechanisms; - Experience on the design and development of energy
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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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requirements: BSc Degree in Informatics Engineering. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference