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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and
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storyClose this story Does this sound like you? You hold a Master’s degree in cognitive neuroscience or an adjacent field (psychology, biology, biomedical sciences, computer sciences, or any other relevant MSc
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for selection This PhD project will address the critical knowledge gaps that exist in this area. As a PhD student, you will work on: Using (inter-)national datasets of different cattle breeds to estimate
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20 Feb 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electronic engineering Researcher Profile
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(neural mass models) as well as at the neuron level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted
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information of two persons who are familiar with you as a student and can provide references. The estimated starting date of the position is 1st October 2026. Additional comments For more information about this
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temporal modelling, multimodal analysis, and risk progression modelling to forecast deterioration patterns and estimate the remaining useful lifetime of infrastructure components. The research also
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Experiment (PRIDE) Doppler/VLBI data: open-source analyses in orbit estimation and ephemeris improvement. Job description We are seeking a highly motivated PhD candidate to strengthen the scientific
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, mathematicians, computer scientists, linguists, musicologists, and cognitive scientists, who share a fascination with the interdisciplinary study of information. This is what you will do Neural approaches