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Field
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engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance strategies that enable lasting behavioural
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renovation. Impact: Enable robust decisions for sustainable buildings. Job description Delft University of Technology is hiring a PhD researcher on “Uncertainty-based Life-Cycle Modelling for Building
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contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation
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language models to score memory content, and evaluate how closely the models' scores match expert human ratings. Administrative tasks, writing, and other work may be included in the position. Qualifications
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benchmark chemometric and physics-informed machine learning models to monitor, forecast, and ultimately control critical process parameters, implanting these models in advanced control frameworks to optimize
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: in plants and mammalian herbivores. In particular, the project main focus is checking if more-than-one isotopic baselines may occur within a community (of plants, or of mammalian herbivores) in
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when using closed, proprietary models, where model weights, training data, and internal representations are inaccessible. The PhD project will therefore investigate how trustworthy agentic AI systems can
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-of-the-art statistical approaches. Actively communicate results to the developers of predictive models within ReDiLEEP. Disseminate your research through publications in leading international journals and
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mechanisms and model development to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy biology
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of Josephson junctions. The methodology combines TEM, geometric phase analysis (GPA), chemical analysis (EDX), and growth modeling. Experiments using 4D-STEM coupled with electron ptychography will provide