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text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference
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support on foundation models and generative AI systems; (b) explore advanced techniques in foundation large language models and multimodal large language models, with a focus on pre-training, post
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lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs
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part of the REACT-NET project and is aimed at the study and development of mechanisms for the management and automatic configuration of communication networks using large language models (LLMs), software
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for follow-up actions. Research Project: The fellow will collaborate with veterinary medical officers, statisticians, economists and ecologists specializing in epidemiology, risk analysis, disease modeling
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programming (MATLAB and Python); knowledge of data processing; experience in mathematical modelling, especially dynamic systems and neural networks; previous experience with burned area algorithms. Contracting
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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to unlock the mysteries connecting TGFs, FGFs, glows, and lightning discharges through modeling and analysis of data from the groundbreaking ALOFT flight campaign. Our group's recent publications revealed
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the Triassic reservoirs in the North Sea are promising for both hydrocarbons and CO2-storage, the Triassic is underexplored in the Norwegian sector. The geological processes controlling the development
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resulting agricultural greenhouse gas emission trajectories, shaped by producer behaviour; 3) Engage with modelling community and livestock producers aimed at improving the representation of livestock systems