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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new scientific results. You will also take courses at the doctoral level
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of farm animals and to develop the genomic breeding methods of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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transmission and processing for remote actuation. The proposal targets two interdependent challenges: the inherent complexity of end-to-end information flow spanning sensing, computation, communication, and
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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environmental modeling to understand how changing redox conditions (such as hypoxia and re-oxygenation) influence the behavior of actinides like plutonium (Pu) and americium (Am) in sediment and seawater. You
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of responsibility The work involves advanced functional in vitro studies of blood cancer cells and the surface receptors they utilize for growth and survival. This includes performing complex FACS and single-cell
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process, candidates will be assessed upon their ability to: independently pursue his or her work, collaborate with others, have a professional approach and analyze and work with complex issues. Additional
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utilizing lung epithelial cell and in vivo models. Different airway epithelial cell cultures models will be developed to study ON uptake and effect in (patho)physiological conditions of lung diseases