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organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover
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, oxygen) Use these process-related insights to develop data-driven models to predict water quality under climate change Publish your results in scientific journals and present them at national and
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-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and
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2 Sep 2026 Job Information Organisation/Company Università degli Studi di Brescia Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Leading Researcher
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integrating AI-driven detection and monitoring capabilities into manufacturing workflows. Conduct applied research on AI model performance, iterating architectures and training approaches to improve accuracy
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phantoms and experimental models used for medical imaging research, education, and competency assessment. This role integrates biomedical design, CAD modeling, and manufacturing techniques to produce
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-resolved simulations. In case a fluidized bed is chosen, a traditional Eulerian Two-Fluid model (TFM) will be compared with a novel Lagrangian Continuous Particle Model (CPM). Initially, engineering
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research, and supporting aspiring entrepreneurs as they launch and grow their businesses. Reporting directly to the Director, this position is responsible for researching effective program models, developing
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anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve
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About us The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes shape