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organization-specific. This poses a critical challenge for applying machine learning: there are typically only a few examples of each specific fraud pattern to learn from. Classic machine learning methods
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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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KU Leuven has a vacancy at Campus De Nayer for a full-time professor in Intelligent Software, advanced software that combines machine learning and knowledge-based inference. We are looking
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of data analysis, time series analysis, machine learning and algorithm development. have knowledge on machine learning with Python or MATLAB. are very fluent in English, both spoken and written. possess
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, Ultrasound and Vibration, Aircraft Structures, Damage Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics, Machine Learning Informal enquiries prior to making
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processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint
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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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(PSI), within the research group EAVISE. The project explores audio representation learning for low-resource settings. Recent advances in machine learning for audio have focused on learning
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that combines machine learning and knowledge-based inference. In real-world applications, it is often paramount to exploit expert knowledge for the task at hand. However, this poses significant challenges with
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24 Sep 2025 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Digital systems Computer science » Computer architecture Computer science » Programming Engineering