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no estimate of their correctness which severely hampers accurate estimation of the correctness of downstream analysis. In this project we will develop novel models for estimating the correctness of genome and
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focused on comparative cloud policy analysis. Key responsibilities include: Developing a dataset of policies influencing cloud infrastructure in selected jurisdictions. Conducting interviews with
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, to uncover convergent gene regulatory mechanisms, with the goal of informing therapeutic strategies. Tasks The tasks will include one or more of the following: Analysis of data collected from developing
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microbiome from clinical patient samples Computational analysis and integration of functional microbial genomics datasets from next-generation sequencing methods. Supervision and teaching of students and
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-cancer data network analysis. The Kuijjer group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational
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: Has a doctoral degree - the degree requirement must be met by the beginning of the employment Has a strong methodological background in agent-based modelling, systems dynamics, network analysis
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approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
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. We require the candidate to have documented experience in either large-scale genomics data analysis with computational or approaches/biostatistics, or machine learning/deep learning. Experience with
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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degree in conservation science, ecology, geoinformatics, mathematics, or other relevant fields. Applicants should have experience in statistics, programming languages and tools, primarily in Python and/or