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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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. Selection criteria Essential PhD in computational biology, bioinformatics, or computer science with a focus on human gut microbiome data Excellent written and oral English communication skills. Significant
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, translational and clinical research related to cancer. Your mission You will work in close collaboration with the PI, PhD students, postdocs, and collaborators to support a well-functioning and collaborative
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seeking a skilled and results-oriented Senior Research Engineer motivated by supporting researchers in other fields with excellent technical service. Further information about the service facility is
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University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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of further development. The postdoctoral position includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the
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the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala University
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is full-time for 2 years, with access starting in May 2026 or by agreement. Departmental specific information The research will be carried out in the laboratory of Cemal Erdem at the Department
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep