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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
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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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states and structural ensembles. The project builds on extensive expertise in the Piazza laboratory in quantitative proteomics, and proteome-wide analysis of protein structural changes. The PhD student
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, or a related field, who enjoys interdisciplinary work spanning wet-lab experimentation and computational data analysis. In addition to the aforementioned requirements for the position: A Master’s
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law and is considered grounds for legal action. Additional preferred qualifications: Prior experience with bioinformatics workflows and analysis of large-scale multi-omics datasets (e.g., RNA-seq
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methods for detailed analysis of different RNA molecules in blood samples and contribute to a new research field with strong clinical potential. What you will work on The successful candidate will be
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experience in population genomic modeling (e.g., using SLiM), analysis of structral variants from long‑read data, population genomic analysis of whole‑genome re-sequencing data are a merit — these techniques
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precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and
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programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial genomics, human gut microbiota research (shotgun metagenomics), Metagenome