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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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. 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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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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significant expert organisation in the healthcare sector and contributes to the discourse on ethics in the field. The faculty aims to be one of the best medical research faculties in the world, while
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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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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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their impact on gene function and structure using a range of sequence analysis and comparative genomic methods. The projects will also involve programming for data collection and analysis. As a
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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods
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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods