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, and WINC projects, focusing on quantum error correction, quantum machine learning algorithms, and other related topics, as well as contribute to research efforts in other CBA-N3Cat group projects
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. Furthermore, he/she will participate in the development of computer vision algorithms for hyperspectral image analysis and mathematical models for knowledge inference, with the aim of estimating the key
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regime, conservation objectives, management effectiveness and information gaps. Implementing analytical software and algorithms to systematise and quantify these criteria. Modelling of larval and juvenile
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analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI
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on USRPs to test AI-based communication algorithms under realistic channel conditions. The offered position is an excellent opportunity to further develop the candidate’s SDR skills, acquire state-of-the-art
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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
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in 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
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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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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