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, Intelligent_Mapping is integrated into the IRIMA Plateformes Consortium, supported by BRGM (PI: J. Langlois). The primary aim of Intelligent_Mapping is to develop Artificial Intelligence (AI) algorithms able
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passions will play a role in defining on which research aspect you will focus primarily: design and implement technologies and algorithms (including feedback control design and implementation) to reduce the
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the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate
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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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of parameters of the system using machine learning and artificial intelligence algorithms. - Assist the IST research team in the preparation of technical reports, presentations, and meetings, as
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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applications of various sensors and actuators; solid mathematical foundation; priority will be given to those with experience in developing industrial-grade control algorithms, signal processing algorithms
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will help to develop advanced, real-time atmospheric turbulence correction algorithms to enhance the long-range imaging quality of optical sighting systems. You will embed new knowledge
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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within the university. Tasks may change over time as communication and engagement avenues evolve, so you are required to stay current on popular technologies, trends, and algorithm patterns. Other