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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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driving cancer heterogeneity and progression by integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks
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University of Helsinki, Department of Mathematics and Statistics Position ID: 568 -POST_STAT [#26743] Position Title: Position Type: Postdoctoral Position Location: Helsinki, Southern Finland
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agent-based modeling or another relevant computational approach for the simulation of managed retreat. We look for a candidate in sustainability or environmental social sciences or a related field who
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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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The Department of Mathematics and Statistics at the Faculty of Science of the University of Helsinki invites applications for POSTDOCTORAL RESEARCHER IN STATISTICS for a fixed term of 2 years
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to: Develop and apply machine learning models for analyzing complex datasets related to nature conservation. Establish and maintain code and data repositories to ensure efficient workflow and collaboration
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the Kilpinen group (iPSC models of NDDs, scRNA-seq, CellPainting of in vitro neurons, multimodal data analysis) and the Kim group (single-cell multiomics, gene regulatory network modelling, smfISH, in vivo
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team in the field of cell and developmental biology. Our team uses the developing wing of the Drosophila melanogaster as a model system to investigate how tissue morphogenesis and intercellular
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and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data using unique novel mouse models, spatial technologies