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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 1 day ago
communication, sociable with an appetite for working in a group. Additional skills appreciated: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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observational data of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods. Additional
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with conducting research at the intersection of reinforcement learning and statistics. The primary responsibility of the candidate will be to advance statistical methodology useful for the design and
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to simulations on quantum simulators and computers, and applications of machine learning, including neural quantum states. Candidates will benefit from state of the art computing resources at the Argonne
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. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the GHG budgets
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About the Opportunity Job Summary: The Lopez Group at Northeastern University is seeking a postdoctoral researcher with experience in machine learning and organic chemistry to join a collaborative
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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of 3D data / point clouds. Knowledge of libraries or tools such as PCL, Open3D, PDAL, and CloudCompare, as wellas machine learning/deep learning methods applied to 3D data, will be considered an asset
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. The student will extend a lightweight digital twin for an STM32-based IoT sensing platform by integrating power measurement capabilities, enhancing machine learning models, and evaluating system performance