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Field
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of the web as a decentralized media platform, extending through to our contemporary moment, as news industries wrestle with the role of AI technologies. You will be asked to: Develop your own research project
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Intelligence (AI) and machine learning (ML) techniques. You will develop AI-based predictive models to anticipate user engagement, primarily using data collected through unobtrusive measurements (e.g., websites
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at the Ångström Laboratory in Uppsala and at Campus Gotland. For more information, see the web of the department . This position will be based at the Division of Industrial Engineering in Uppsala. The Division
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in Austria. We are seeking a PhD candidate on predicting adherence to digital health-promoting interventions with Artificial Intelligence (AI) and machine learning (ML) techniques. You will develop AI
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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limbs in health). This requires comprehensive integration of many data sources coming from the user, robot, and environment. This challenge can be addressed only using advanced AI. This lab will develop a
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of subclonal variation in cancer, we have developed a set of single-cell multiomics methods, such as DNTR-seq for joint WGS/mRNA-seq (see: Zachariadis et al. Mol. Cell 2020, Andrews et al. Nat. Methods 2021
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development activities and all other scientific and technical activities within the scope of the missions of the respective Organic Unit and of U.Porto regularly [Article 7(2) of Regulation 487/2020 of 22 May
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), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development