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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position at Adhera Health SL (Spain) and the University of Bergen
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has gone through a very rapid development in the last few years. Large-scale machine learning models are however notoriously over-confident. With insufficient amounts of data to train them on together
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point-based PhorEau projections using a machine-learning model predicting tree species richness as a function of spatially explicit abiotic and biotic covariates, including satellite-derived data
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on combining innovative technologies such as remote monitoring, large language models, machine learning, blockchain, and eco-accounting to enhance the efficiency, security, and sustainability of e-bike charging
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will work with researchers who conduct world-leading research on the occurrence and progression of inflammatory diseases such as multiple sclerosis (MS). We are working to integrate large-scale clinical
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15th February 2026 Languages English English English PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position
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of greenhouse gases including CO2 and CH4. The PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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optimization – with rigorous theoretical analysis. The ideal candidate has strong machine learning and AI expertise and is comfortable with – or eager to learn – large-scale multi-GPU experimentation