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research profile with strong research groups in a number of different areas. The research carried out at the department is performed in close connection with the clinical activities at the Uppsala University
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wide differences within human gut bacteria species in early childhood. Our goal is to improve the understanding of adaptive mechanisms employed by different gut bacteria at a high resolution to guide
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to the Wallenberg AI, Autonomous Systems and Software Program (WASP). This enables interaction with researchers from different research fields and access to various scientific and technical expertise. Data-driven
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large medical datasets, and also gain knowledge on how AI can be used in healthcare. The position involves many different types of meetings with other PhD students, researchers, supervisors, and
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identification, optimization, or numerical methods is valuable, as is knowledge of data analysis and machine learning for complex, high-dimensional systems. Programming experience in MATLAB or Python, and an
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with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy. Experience in DNA repair assays, cytogenetics, plant functional genetics
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large medical datasets, and also gain knowledge on how AI can be used in healthcare. The position involves many different types of meetings with other PhD students, researchers, supervisors, and
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, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
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companies - public and private - and stakeholders in the different fields of research. We look forward to receiving your application. Join us and build the future with us! Project description Modern systems
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microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key