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emotions make individuals susceptible to the experience of pain. By identifying and applying a translational model of emotional flexibility, the neural networks that underly comorbidities of fear and anxiety
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3.5-year D.Phil. studentship Supervisor: Dr Thiago B. Burghi This project will develop data-driven models for predicting seizure-like events in living neural networks. Such events can be induced in
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! PhD Position – AI-Driven Multimodal Analysis and Predictive Modelling of Biomaterials Apply for this job See advertisement About the position Biomaterial Science (BIOMAT) / Institute of Clinical
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UiO/Anders Lien 20th October 2026 Languages English English English Join the University of Oslo for a PhD in Biomaterials! PhD Position – AI-Driven Multimodal Analysis and Predictive Modelling
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to predictably control and exploit the drop for useful tasks. Aims: Develop computational models to quantitatively predict the response of chemically active drops to the various physico-chemical stimuli
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. These models will improve predictions of mineral alteration, scaling and long-term reservoir performance while reducing uncertainty in geothermal development. Specifically, you will: Integrate core, wireline log
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intelligence, as it develops model learning methods based on optimization, together with predictive validation procedures designed to assess the generalization ability of models on new data. Current approaches
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, and present data statistically to develop a prediction model, and manage own research and administrative activities. You will undertake comprehensive and systematic literature reviews, contribute
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Hospital. You will work with the Biobank team to clarify potential data fields and create dataset, gather, analyse, and present data statistically to develop a prediction model, and manage own research and
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assessment. Advanced AI and Decision Support The research will investigate Explainable AI (XAI) to identify important clinical predictors and improve the interpretability of model predictions. Multimodal and