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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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such as audio, event-based vision, and inertial measurements, together with user gaze information. Artificial intelligence algorithms will be developed to fuse and interpret these heterogeneous modalities
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. This position is to be filled at the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy
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focuses on modeling IoT-Fog environments, designing multi-objective optimization algorithms (latency, energy, reliability), and developing strategies for critical IoT applications like smart cities and
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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devices.Novel decomposition algorithms will estimate motor unit activity during voluntary contractions, together with tools for robust assessment of neural markers of motor unit correlation.A control framework
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processing algorithms for the compensation of non-idealities (equalization, distortion reduction) and beamforming algorithms for audio transducer arrays will be designed. Where to apply Website https
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 4 days ago
simulation infrastructure (e.g., event scheduling, time management, state tracking) and domain logic (e.g., such as workload-management strategies, performance metrics collection). •Development of a reusable
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techniques and algorithms to be used in the field of optical communications, with particular focus on quantum systems Where to apply Website https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni
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Behavioral Lens: Guide efforts to develop novel AI technologies and machine learning interventions, making new algorithmic tools possible. Ensure AI and algorithmic innovation efforts focus on enhancing human