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How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how long, and under what conditions recovery is possible? We are looking for a
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expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next-generation energy
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models. Publish research results in high-quality international journals (at least two peer-reviewed papers are expected). Eligibility Appointment to a postdoctoral position at Lund University requires
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natural language processing with causal estimation. Recent directions in the project include using large language models to remove treatment-predictive information from text, benchmarking debiasing
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
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of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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an understanding of large language models or conversational AI frameworks (e.g., OpenAI API, Gemini AI). You have experience setting up and maintaining databases (e.g. SQLite, MySQL). You have an
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and