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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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demonstrate a willingness to work independently and strong communication abilities to work in collaboration within a team. Meritorious for the position: Experience with deep learning model development and/or
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, Stockholm University and Uppsala University. The center also collaborates with several other universities. The employment will be placed at the Department of biochemistry and biophysics, at Stockholm
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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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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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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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at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
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interdisciplinary project. The project concerns algorithm design, implementations of algorithms, and simulated and biological data analysis. The student is expected to learn a bit of relevant molecular biology to
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, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA
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collaboratively. Adaptability is also essential, as research directions and methodologies evolve, requiring flexibility and openness to learning new techniques. You should have the willingness to develop technical