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development, high-throughput data analysis, and working with large population-based cohorts and clinical biobanks. The student will learn how to scientifically assess the study quality, perform appropriate
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experience of large-scale data management, high-performance computing (HPC), GPU acceleration, and parallel file systems Documented experience in leading staff and operations supporting bioinformatics and
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-scale datasets generated in the Piazza laboratory, public structural proteomics datasets, state-of-the-art mass spectrometry infrastructure at SciLifeLab, and high-performance computing resources
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well as completion of compulsory courses within the doctoral programme. Within the research projects, you will plan studies, collect data, clean the data, perform analyses, interpret results, and present your findings
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steps in workflows and implement optimisations to maximise yield and data quality Gain experience in interpreting sequencing data and performing quality control in close collaboration with computational
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. The EM data analysis support is prioritised at a national level. You will perform support and service tasks individually and plan your work together with the NBIS BioImage Informatics team. Work
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on community ecology. Researchers have access to excellent glasshouse and climate-controlled facilities, fully state-of-the-art molecular labs and a high-performance computing cluster (UPPMAX). The Department
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. Academic and Research Excellence: Demonstrated high-quality academic performance, including strong grades and relevant degree projects. Prior research experience in computational biology, functional genomics
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preparations. Experience with genomic data analysis and working in a high-performance computing (HPC) environment, including tools for sequence alignment, genome assembly or population genetics. Meriting
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The Department of Cell and Molecular Biology (ICM) (https://icm.uu.se) is organized into seven research programs, each focusing on distinct areas within cell and molecular biology i.e. computational