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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Electrical power systems and distribution network optimization. Machine Learning and Deep Learning applied to electrical systems. Basic quantum
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Infrastructure? No Offer Description Mission: Research and develop robotic perception algorithms that allow obtaining a 3D representation of complex environments; monitoring and presentation of results. Functions
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Offer Description The researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment. These will include neural
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their creation. Functions to be developed: Build a Reinforcement Learning system that supervises and adjusts text generation through inputs and outputs. Develop automatic model selection algorithms
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processes with a focus on atmospheric applications. Contribute to the development and implementation of mathematical models and numerical algorithms. Analyze data from numerical simulations, climate models
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: Artificial Intelligence Models. Deep Learning. Development and implementation of the Model Predictive Path Integral algorithm: MPPI. Professional Experience: Development of perception and localization systems
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position within a Research Infrastructure? No Offer Description Mission: Implement a data transmission system for a Data Space. Functions to be developed: Implement data flow management algorithms. Develop
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Research Infrastructure? No Offer Description Mission: Develop perception algorithms that allow estimating the state of a mobile robot; monitoring and presentation of results. Functions to be developed
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: Neural networks and machine learning. Algorithm. Professional Experience: In the use of Python (PyTorch, TensorFlow) and C for the development and optimization of deep learning algorithms. Experience in
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Requirements Knowledge -Data science. -Artificial intelligence algorithms and knowledge representation. -Equality and gender in steam. Professional Experience -Participation in European and national research