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Field
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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scientific problems involve complex physical phenomena that are difficult—and sometimes impossible—to reproduce experimentally. Moreover, experimental campaigns are often costly in time, resources, and
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pooling coordination schemes for CF-based 6G RANs. His/Her work will adress objectives like: (i) develop low-complexity ML algorithms for efficient multi-objective network optimization, radio resources
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you often find yourself fascinated by the multiscale complexity of real-world engineering problems? In this project you will develop advanced multiphase transport models for porous systems, bridging
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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1 Mar 2026 Job Information Organisation/Company Fundació Privada I2CAT Department Software Networks Research Field Technology » Telecommunications technology Researcher Profile First Stage
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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rules in networks of complex spiking neuron models in the application field of geolocalization: Building up simulation model for networks of complex neurons with topologies close to neuroscience models
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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. More specifically, the doctoral program has four different specialization tracks: - Complex Systems and Networks (CN) - Computational Mechanics (CM) - Learning and Control (LC) - Software Quality (SQ