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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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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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. 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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resources, and reduce operational costs. In this context, the following objectives are proposed:; - Development of a methodology for the optimal sizing of the main components of a green Power-to-Hydrogen (P2H
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TEC. 2. OBJECTIVES: Develop an intelligent programming module to be applied to a Kuka collaborative robotic manipulator. The main objective is to adjust the trajectory and/or adapt the resistance