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Injection Systems (CIS) — natural protein machines used by bacteria to deliver molecular cargo. The group's mission is to understand the structure, function, and application of CIS for use in both
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eventually professor. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through the University’s Swedish language courses
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
possibility for promotion to permanent employment as a senior lecturer. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through
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receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. We
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period of 5 years and can then be promoted to permanent employment as a senior lecturer and eventually professor. You will receive five weeks of training in teaching and learning in higher education and
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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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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need Requirements for the position are: A doctoral degree in a relevant field including experience of high-performance computing, machine learning or artificial intelligence A strong track record of
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multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 ECTS credits
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description