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: - Consolidated knowledge in ECC and LDPC algorithms - Consolidated knowledge in hardware description languages and hardware-prototyping toolchains (e.g., Xilinx Vivado) - Knowledge in FPGA
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the interrelationship between different variables (flow, water quality, and activities associated with operation); Model water supply systems using specific software; Develop an algorithm for interaction with the APIs
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, through digital participation platforms, algorithms for identifying safe and sustainable routes, multimodal mobility hubs, as well as interactive simulation and visualisation tools for designing urban
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: Miguel Sá Sousa Castelo Branco IV - Work Plan / Goals to be achieved: To develop and test algorithms that can provide neurofeedback in real time from neurophysiological data. V - Initial grant duration: 12
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applications and optimization in the project area. Preferred profile: Good teamwork skills and motivation to use computational applications, such as software and algorithms for optimizing microgrids/energy
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is required, particularly in the development of digital solutions, data processing and integration, computational modelling, or optimization algorithms. Preference will be given to candidates with
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of three-dimensional inference algorithms from object views, based on Generative Networks for Robotics Applications. V - Initial grant duration: 5 months, as long as it doesn't go beyond the end date
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Intelligence and Algorithms – 30%; VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1: Knowledge and profile
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candidate will also be responsible for the development of the radar signal processing chain, including the extraction of relevant information from the received signals and the implementation of algorithms
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that do not confer an academic degree, in the area or area related to that requested in the tender. Preferential factors: Have demonstrable experience in the use of machine learning algorithms applied