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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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information on the Institute, please visit https://www.helsinki.fi/en/helsinki-institute-of-life-science . The University of Helsinki, founded in 1640, is one of the world’s leading universities
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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
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opportunities for professional development. For more information, please visit https://www.helsinki.fi/en/about-us/careers/why-university-helsinki . The selection process involves initial shortlisting, followed
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University of Helsinki is an excellent career choice: https://www.helsinki.fi/en/about-us/careers (including also information for arriving international staff). Application to the position Please submit your
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/careers (including also information for arriving international staff). Application to the position Please submit your application through the University of Helsinki Recruitment System via the button/link