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and bioinformatic analysis of gene expression data in different types of tissues: mice, humans and plants. This work will include analysis of data generated with the latest Spatial Transcriptomics and
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in vivo models. Infrastructure and expertise in various so-called omics technologies, single-cell biology, bioinformatics, drug development, and more are available locally through the SciLifeLab
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are required: You have graduated at Master’s level in bioinformatics, computational biology, data analysis, computer science, biostatistics, biological engineering, applied mathematics/physics or completed
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the department, including genomics and transcriptomics, antibody development based on phage display, large-scale mass spectrometry-based proteomics, and associated bioinformatics. The department is host to a unit
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at a maximum level of 20 %. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in Machine learning, Computer science, Bioinformatics
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods