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the right to pursue postgraduate studies in the Faculty’s Doctoral Programme LUMETO; (iii) good knowledge of complex analysis and functional analysis as evidenced by transcripts; (iv) good command of written
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& al. 2022, PMID: 35164752,Gondane & al. 2023, PMID: 36975490, and Liang & al. 2024, PMID: 38775167). For further information, please refer to our research groups’ web pages: https://www.helsinki.fi/en
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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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external funding as well as a research plan for how the applicant intends to develop their research activities in the future (max. 3 pages) A report (max. 3 pages) of experience, merits and vision, which
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will work within the research project “Structural correctness in metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
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research group and establish an ambitious research program in the burgeoning research field of Living State Physics. The new professor shall actively engage in education in this field at the NBE department
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metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data