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objectives and develop actionable plans to drive research and engineering outcomes.; • Extension and valorization of previous research results.; • Mentoring software engineering researchers, including graduate
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the current understanding of the needs and objectives of the software to be developed. 4. REQUIRED PROFILE: Admission requirements: Master's student in Computer Science and Engineering, or similar; The awarding
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development tools such as REACT and/or preferably VUE.JS. Minimum requirements: - Have passed the curricular units of the cycle of studies you are attending, in the scientific area of Software Development and
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%); Relevance of courses to the position (10%) Additional Certifications and Qualifications (CQ, 40%): Additional certifications/training relevant to the position (10%); Verification of preference factors (30
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Analyze and validate existing software repositories for center prototypes
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ns-3; - research experience in the area of Wireless Networks/Telecommunications ; - experience with Open RAN software, such as OpenAirInterface, including the integration of commercial or Software
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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: - Knowledge of software
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. Node.js); • Experience in using software containers (Docker) Minimum requirements: - Master's degree average equal to or higher than 18; - Excellent knowledge of programming languages and software
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%): Additional certifications/training relevant to the position (10%); Verification of preference factors (10%) Candidates with AC < 50 are excluded on absolute merit. The best five candidates who are not excluded
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of Higher Education Institutions. Preference factors: Frequency of a master in data analytics. Minimum requirements: Python knowledge. Experience of developing software for network science. 5. EVALUATION