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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 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
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
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of an interdisciplinary research group focusing on how housing and relocation promote active and healthy ageing. The project is carried out in collaboration with researchers at Lund University within
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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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, 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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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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strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting