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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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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
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study cycle or non-award courses of Higher Education Institutions. Preference factors: Frequency of a master in Computer Security Minimum requirements: Python knowledge; Experience of developing software
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; Prepare a bibliographic review on methods of explanation in Network Science models; Write the activity report.; 4. REQUIRED PROFILE: Admission requirements: Master in Data Analytics, Data Sciences
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of the research process and the results obtained.; 4. REQUIRED PROFILE: Admission requirements: Students enrolled in an integrated master's degree or in a master's degree and with a degree in Informatics
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experience. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Characterize the platform users; - Define the platform requirements. 4. REQUIRED PROFILE: Admission requirements: Master in Service
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of Higher Education Institutions. Preference factors: Previous development of signal processing algorithms in the health area. Willingness to continue the work on a master's thesis work. Minimum requirements
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-based supply chain ; - Analyse the sustainability metrics in the scenarios created. 4. REQUIRED PROFILE: Admission requirements: Master Student of Industrial Engineering and Management. The awarding
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. REQUIRED PROFILE: Admission requirements: Masters degree in Computer Science, Informatics Engineering or similar areas. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle
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and imaging data collection, envisioning the development of relevant research efforts within the work area.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The main focus of this position is