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Number 10267010007 Is the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Develop a doctoral thesis on the mechanistic interpretability of graph neural
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Infrastructure? No Offer Description Mission: Participate in the development of high-performance Shallow Water models. Functions to be developed: To develop a tool for baroclinity simulation of the atmospheres
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future of smart agriculture. II. Positions and Requirements A. Young Scientists: 5 Positions Research Area 1: Scientist in Bio-breeding Algorithms Develop intelligent decision-making algorithms and models
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to researchers with a strong background in applied and computational mathematics who develop mathematical models and numerical methodologies for scientifically relevant problems. The successful candidate will
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and simulation of physical, engineering, or complex systems. The position is particularly suited to researchers with a strong background in applied and computational mathematics who develop mathematical
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corrosion detection in metallic structures. The position focuses on the development, training and validation of artificial intelligence algorithms for multispectral image processing, with the objective
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Description The Universidad Carlos III de Madrid invites applications for a full-time technical research support position within the project DISCO6G-CM – Development and Integration of Sensors and
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). 2.5. Tasks to be carried out: · Adapting and converting astronomical datasets to appropriate formats for processing using various AI tools and models. · Verifying that the implemented algorithms work
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, DMC). Development and implementation of Quantum Monte Carlo algorithms. Numerical simulation of many-body quantum systems. High-performance computing (HPC) and Linux environments. Scientific programming
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HRER2026/357-222 Perfil R1 para desarrollo de algoritmos de IA / R1 profile to develop AI algorithms
. // Software development for the European project SkincAIr. Desarrollo de algoritmos de IA para la detección de enfermedades tropicales desatendidas // Development of AI algorithms for the detection of Neglected