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preparation and the development of pipeline of image analysis will be integral parts of the project. Supervision: Ilaria Testa and Francesca Pennacchietti are proposed to supervise the doctoral student
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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. This project centers on applying advanced computational tools—such as bioinformatics, machine learning, and large-scale genomic data analysis—to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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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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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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-der-valk/ ). We are looking for someone with a passionate interest in insect phylogeny and evolution, and with strong competence in de novo genome assembly and phylogenomic analysis. The successful
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Computational Mathematics covers many different areas in numerical analysis, symbolic computations
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-arif/ Job Assignments The work primarily involves collecting and analysing publicly available transcriptomics (single-cell and bulk) datasets, including GTEx data. You will also develop an analysis