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Field
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combining advanced experiments with multiscale modelling, CIRHY enables reliable, sustainable steels for future infrastructure and industry. The project was granted by the Dutch national funding agency NWO in
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interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
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in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI
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, modelling, prototyping and experimental validation. The best fit is A candidate interested in high-frequency measurement techniques, sensor hardware development and precision experimentation. PhD 2
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the consortium; the candidate's MSCA-DN mobility eligibility for the selected host country. The selected candidate will therefore be matched with the TUAI partner offering the best scientific and supervisory fit
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approach that includes stakeholder engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance
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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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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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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