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artificial intelligence), exploring future skills, and optimizing equipment management. You will work in close collaboration with major industry partners to collect and analyze real-world empirical data using
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced infrastructure for experimental and theoretical studies
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the project that explores the concept of "sustainable, healthy, and resilient meals." The Stockholm Resilience Centre at Stockholm University hosts the center and collaborates directly with researchers from
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vascular disease diagnostics. Leveraging unique cohorts and biobank data, the student will also be directly involved in cutting-edge data-driven translational science, collaborating with international
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of small cryptic plasmids in the development and spread of antibiotic resistance, and ii) Use machine learning tools to examine the complex interplay between bacterial hosts, various plasmids and resistance
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environment to learn and develop. Main responsibilities Independent research and research training (80% of time) Support for education and activities within the research area and department (20% of time
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the main working language. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives
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. The degree requirement must be met no later than at the time the employment decision is finalized, which occurs when the employment contract is signed. Furthermore, you shall be eager to learn new things and
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environments. The project is divided into five separate Research Themes (A-E), which collaborate within the framework of sub-projects. The doctoral position in this call will primarily be involved in Research