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. To solve this, the HiFi-MuTaNTS project, which is a consortium between the Geological Survey of Finland (GTK), University of Helsinki, and CSC – IT Center for Science, proposes a model-based scientific
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at the Faculty of Medicine, University of Helsinki. The project will focus on using and extending deep learning-based approaches developed within the group to integrate bulk multi-omics cancer data. The Kuijjer
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan
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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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conservation science that can help address the global biodiversity crisis. Excellent written and verbal communication skills in English are required. The University of Helsinki welcomes applicants of all genders
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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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(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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sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks. Please find more information about working at the University of Helsinki and
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University of Helsinki is one of the world’s leading universities for multidisciplinary research. Helsinki Institute of Life Science HiLIFE is an independent research institute that supports high
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employees of the University of Helsinki) submit their applications by using the Employee Login button. Please send your application with following enclosures: A complete CV, including PhD thesis title and