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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
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to analyze human gut microbiome data from large cohorts. Responsibilities Microbe-microbe and host microbe interaction analysis in multiple cohorts (n=2500) Evaluate differential fitness of specific strains in
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area, from basic research to large-scale applied research, and close contacts with students through the department’s involvement in engineering and master’s programs. Our research and teaching are
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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts
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data. Much focus is on large scale analysis based on machine learning, deep learning/AI, as well as handling and analyzing large 3D microscopy data. You will work with shorter and longer projects and
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the same genome. Other promising model systems are represented by experimental lines of insects that have evolved large differences in longevity. In this project, we aim to address the role of somatic
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 37 000 students and 6 000 employees make the university a large and inspiring place to work and study. Strong