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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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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 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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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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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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collaborates with several other universities. The employment will be placed at the Department of Biochemistry and Biophysics, at Stockholm university, more information about us, please visit: www.dbb.su.se
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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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Facilities, Sahlgrenska Akademin in Gothenburg, Sweden. Selection process For more information regarding the selection process go to: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande#S%C3%A5
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of Linköping University’s departments. Your profile determines which department will be relevant. Information about our relevant strong research environments can be found at https://liu.se/en/research/wcmm/ddls