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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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biomass remote sensing, crop modeling, data assimilation and machine learning Supervise master thesis students For PhD students: follow training in line with the doctoral school requirements Where to apply
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diverse applications in decision making, criterion handling and machine learning. Topic The main research objective is to contribute to the development of responsible AI, with a strong focus on trust and
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(R1) Positions PhD Positions Country Belgium Application Deadline 5 May 2025 - 15:20 (Europe/Brussels) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework