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Field
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understand, explain and advance society and environment we live in. Your role The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and
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for energy systems Digital twins and energy analytics Energy communities and electricity markets Energy system modelling and optimisation Green hydrogen technologies Key Responsibilities Conduct high-quality
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electrophysiological systems and the novel devices to be developed). These are also to be used to control the stimulus patterns from the novel networked microdevices. This position is suitable for a scientist with data
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, primarily because modelling the unsteady aerodynamic effects can be computationally prohibitive. Consequently, many conventional wing aerostructural design frameworks rely only on static aeroelastic metrics
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under my supervision to support research related to AI-driven modeling of forestry systems, plant physiological processes, and ecological traits. The position will focus on developing computational models
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refines algorithms and workflows for crop and pasture monitoring, modeling, prediction, and decision support and automation; Supervises graduate research assistants and student interns working
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to write a doctoral dissertation. You possess excellent writing skills. You are a team player with an open mind. Excellent command of Dutch required, if you intend to write your thesis in Dutch. You have an
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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robustness Building Uncertainty-Aware General Purpose Models Merge developments into a unified, efficient MLFF architecture Train MLFFs on large, diverse datasets across broad chemical space Evaluate models