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documenting your work accordingly, with an analytical mindset. Qualifications Requirements A doctoral degree or an equivalent foreign degree in in biotechnology, cell biology, molecular biology, biomedicine
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and in cell culture. Practical experience in programming with R. Practical experience in analytical methods including multiplex flow cytometry, as well as associated data analysis. Practical experience
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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
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shared by Karolinska Institutet, KTH and Stockholm university. Your mission We are seeking a highly motivated postdoctoral researcher to join our team to develop new tools to analyze the sequencing 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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cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training
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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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the Data-driven Life Science Fellows program. The group, led by Wei Ouyang, focuses on building AI systems for data-driven cell and molecular biology. We are seeking a postdoctoral researcher in cell biology
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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