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devices. Minimum requirements: Advanced knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous
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AND TRAINING: 1. Study and propose circuit architectures for the control of electronic devices (Schottky diodes, memristors), with emphasis on scalability and integration efficiency.; 2. Design
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demand the application and development of concepts and techniques in the area of Software Engineering which are usually introduced in curricular units included in the curricula of the Mestrados Integrados
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PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Collaboration in the design and prototyping of a radar + video system for motorcycles.; • Development of software modules for automated data collection
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Security Minimum requirements: Python knowledge; Experience of developing software for data streams. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with software installation and configuration
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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 in software testing implementation
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: Experience in developing optimization problems and experience with GAMS software; Fluency in Portuguese (spoken and written) ; Minimum requirements: Proven experience in R&D work on electricity and renewable
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of the developed prototype using synthetic and realistic workloads.; ; ; The tasks described in this working plan demand the application and development of concepts and techniques in the area of Software Engineering
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of a multi-modal dataset.; - Implementation of a software module for storing datasets according to a pre-defined standard.; - Development of routines for testing existing ML algorithms on a multimodal