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optimization algorithms to support the deployment of innovative shared energy storage systems within energy communities. The candidate will work within the framework of the Energía del Prat project, which aims
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and the UK. The selected candidate will support the design and implementation of energy management systems (EMS), contribute to daily and real-time operation algorithms, and help define requirements and
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III of the Call for Proposals - Demonstrable experience in tasks related to multibody systems dynamics, particularly slack modelling and data fusion algorithms with computational models. - Candidates
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III of the Call for Proposals. - Demonstrable experience in tasks related to multibody systems dynamics, particularly slack modeling and data fusion algorithms with computational models. - Candidates
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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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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
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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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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group