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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi
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mathematics,Informatics Job summary: INESC TEC is accepting applications for 1 RESEARCHER job in the Software Engineering and API Development for Power Systems Project: Scientific Advisor: Tiago André Soares
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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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. Functional testing of developed PCBs, including experimental validation of electronic circuits and S-parameter characterization using a vector network analyzer (VNA).; 4. Experimental characterization
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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
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Software Engineering which are usually introduced in curricular units included in the curricula of the Integrated MSc in Informatics Engineering or the MSc in Informatics Engineering studies. 4. REQUIRED
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integrated systems with control software, data acquisition, and analysis; Validate the detection systems in a simulated environment. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Monitoring CO2 in
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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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simulation, specifically designed for DC networks, considering widely used software in academia and system operators, such as Matlab, PSCAD, PSSE, and DIgSILENT PowerFactory - Contribute to the writing