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to financial operations Develop systems for automated regulatory compliance checks, fraud detection, risk analysis, or smart contract orchestration Investigate the integration of agentic reasoning with financial
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Institute) Besides the project leaders, the Dynamigs team includes several senior and postdoc researchers. As a part of this project, you will conduct quantitative research on demographic behaviour
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for anomaly Detection and diagnostics: Leveraging state-of-the-art machine learning and deep learning models for automated fault detection, classification, and time-till-failure prediction. This will involve
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visual behavior, visual circuit development, and automated behavioral assays. Methodologies include: Innate visual behavior assays using naturalistic visual stimuli (e.g. looming threats, prey-like
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visual behavior, visual circuit development, and automated behavioral assays. Methodologies include: Innate visual behavior assays using naturalistic visual stimuli (e.g. looming threats, prey-like
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and regulation of phytohormone transporters—key membrane proteins that control how plants grow and respond to stress. By combining advanced structural mass spectrometry (HDX-MS, native MS) with
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here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
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farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome
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and a willingness to further develop those skills to automate your data processing and improve your own workflow efficiency are expected. You have a strong interest in catalysis and structure-function
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catalytic metals. These clusters will be deposited with high control over size and composition using cluster beam deposition on morphologically engineered TiO2 nanotubes. The most efficient catalysts will be