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Medicine (WCMTM) and SciLifeLab in the University of Gothenburg. and is tightly connected to a broad network of international collaborators. Duties Develop and perform high-resolution spatial transcriptomics
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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division The Division of Biomedical Engineering is part of the Department of Materials Science, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized
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or advanced library preparation technologies Experience with sequencing data quality control and basic downstream analysis We are looking for candidates who Can perform experiments with a high level of
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry
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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