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integrating artificial intelligence, from algorithm design to on-sky demonstration. The objective is to design intelligent adaptive optics systems capable of correcting sensor nonlinearities, anticipating
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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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learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications
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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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, the most promising prediction algorithms will be experimentally compared. In the last four months, tests will be carried out to evaluate the performance of the solution produced and a prototype. Where
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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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, algorithmic exploration, and collaborative research, rather than independent program leadership. This position is well-suited for candidates in the early stages of their career. Essential Job Duties Conduct
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 13 days ago
and extensible framework that supports dynamic composition of workload parsers, workload-management algorithms, predictive models, and performance metrics collectors through declarative configuration