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large language models (LLMs)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create
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, and mortality. This will be achieved by linking large existing datasets that contain data on people with diabetes foot disease in the community (such as Diabetes Registries, Diabetes Foot Registries
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/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team focuses on critical information infrastructures and cyber-physical systems with the aim to protect our most sensitive and valuable assets. We
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center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI
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Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
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, ecohydrology, and/or ecology would be ideal but is not required. Experience in numerical modelling, big data analysis, and plant ecological and physiological processes, · You enjoy both modelling, model
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research using big data. He/she will be expected to take a leading role in overseeing research projects and supervising junior research staff. Enquiries about the duties of the post should be sent to Prof
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@ugent.be . We do not accept late applications. For more information about this vacancy, please contact Prof. Bart Leroy or Dr. Maria del Rocío Pérez Baca (bart.leroy@uzgent.be , +32 9 332 63 44
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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university Heidelberg (Prof. Dr. Skyler Degenkolb) seek to bring quantum sensing methods into precision neutron science, further extending the power and reach of these measurements. Innovative new devices can