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Field
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Experience: Work developed related to the work and functions to be performed (punctuation: 30) Item 03: Specific Education: Programming microcontrollers, sensors and IoT communications (punctuation: 25) Item
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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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• Experience in bio-instrumentation design, specifically in integrating biological or chemical assays with electronic sensors • Experience with NFC technology • Experience developing mobile applications
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investigate new algorithmic principles that make learning agents adapt to non-stationary environments in an autonomous manner. The expected outcomes are new theoretical insights about the algorithmic roots
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related hi-tech materials and processes, sensors and tautomeric controlled drug design, headed by Professor Liudmil Antonov. It consists 3 subdivisions, namely "Fundamental aspects of the tautomerism
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processes, sensors and tautomeric controlled drug design, headed by Professor Liudmil Antonov. It consists 3 subdivisions, namely "Fundamental aspects of the tautomerism", "Exploiting excited state
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unit and then pre-processed data used as the input of the deep learning algorithm. The research will employ the SafeML tool (a novel open-source safety monitoring tool) to measure the statistical
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hydrodynamic and water quality responses while providing robust uncertainty quantification to support reliable decision-making. Evolutionary algorithms will be employed to efficiently explore the parameter space
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the imaging system for generating image datasets from agricultural machines Develop and implement computer vision algorithms for plant disease detection and health estimation in soybeans Design and
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
of operating with a very limited number of sensors. The core concept relies on signature-informed modeling. The principle is to extract only essential and robust information about key parameters of interest from