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charging) Predictive charging planning algorithms Railway Smart Pricing models Techno-economic evaluation versus the traditional catenary model This is applied research with validation in simulated
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are: To support the development of an automatic tool anchored in the electronic medical record of primary care to identify all patients candidate to receive secondary CV prevention therapies, to help GPs maximising
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implementation of LED drivers for indoor lighting control. 2) Design of server management algorithms on an IoT server for monitoring light sensors and controlling the lighting system. Development of spectral
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or equivalent Skills/Qualifications Development and implementation of quantum algorithms applied to biological networks of Alzheimer's disease. Design of gene perturbation models using Quantum Reinforcement
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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). The project focuses on next-generation AI-native cellular systems and aims to develop distributed learning methods for real-time handover optimization at the network edge. The selected researcher will
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to the academic development of the Programming area within the Programme and participate in high-quality research activities in areas related to theoretical computer science, algorithms, data structures
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processing using Artificial Intelligence (AI) algorithms, integrated as an energy-efficient Point-of-Care computing tool. The system will be developed following a co-creation methodology involving key
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of control software and data management systems for the automated laboratory. Development and deployment of AI algorithms for adaptive experimental planning, optimization of experimental space, and automated
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to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for