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equation—rests on a physical basis that is naturally suited to the modeling of transport phenomena at the microscale, while relying on a conceptually simple algorithm with direct implementation and high
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scholarship holder will contribute to several research activities, including: - Design and implementation of event-based data compression algorithms, including lossy and learning-based approaches. - Development
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quality of water stored therein; b) calibrate and validate models or algorithms based on spectral signatures, associated with in situ validation campaigns; c) extract indicators of spectral signatures
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capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources
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study its impact on the degree of collaboration in hybrid teams. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and
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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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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