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cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot mechanics, from advanced modelling and simulation to large-scale experiments. In close collaboration with
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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the Romanian labor market using data available on online recruiting platforms deploying state-of-art approaches in Natural Language Processing, SemanticWeb and Agent-based Modeling. For this purpose
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will be analyzed considering various scenarios. To this end agents having similar characteristics to the entities (job seekers and firms) will be defined in an agent-based model, which will simulate
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Processes, Chemical Engineering, or a related field. • Strong background in heat and mass transfer, thermodynamics, and chemical reaction engineering. • Experience in the modeling and simulation
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and theories related to climate interactions with respect to present and future environments. You have demonstrable skills in the modelling and analysis of spatio-temporal variability of climate and
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problems or enhance industry operations Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI
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Development of simulation and optimisation models for smart charging and bidirectional charging of electric vehicles Modelling of renewable energy generation and consumption within energy communities
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the following objectives: Develop scalable analytical models that account for the full dynamic topology of LEO constellations across successive orbital snapshots, including satellite handover events and topology
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for the processing of multistatic radar data within the URANUS project. The work includes the design and implementation of a data simulator based on the physical modeling of the acquisition process through