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- UNIVERSIDAD POLITECNICA DE MADRID
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- ICN2
- CIC energiGUNE
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- FUNDACIÓN CANARIA PARQUE CIENTÍFICO TECNOLÓGICO
- Fundacion IMDEA Energia
- Institute for bioengineering of Catalonia, IBEC
- Universidad de Alicante
- University of A Coruña
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Analytics research group at the Catalonia Institute for Energy Research (IREC) is looking for a senior researcher (R2) to join our team and contribute to the development and integration of advanced algorithms
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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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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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computationally efficient algorithms. They will work with machine learning, deep learning, and NLP tools. Funding This contract is part of the GAP project (PID2022-139308OA-I00), funded by MCIN/AEI/10.13039
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algorithms using artificial intelligence for the implementation of cognitive autonomous robots. Where to apply E-mail ricardo.sanz@upm.es Requirements Research FieldEngineering » Industrial
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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for the processing and analysis of multimodal spatial biology datasets. Design and apply advanced image analysis algorithms for cell segmentation, feature extraction, and debarcoding for lineage tracing. Statistically
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). Modelling of electrical distribution networks with VPPs and development of grid ancillary services. Implementation and proof of concept of the control algorithms in a Power HIL environment (Smart Energy
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the adaptation and improvement of the algorithms required for the aggregation and provision of flexibility to the grid, the optimized management of an energy community, and the intelligent operation and demand