14 model-driven-engineering Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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-driven working culture. The research activities are carried out in research groups joined into three multidisciplinary research programs. For more information, please visit https://www.helsinki.fi/hilife
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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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related to staff position within a Research Infrastructure? No Offer Description The McWilliams Lab investigates the regulation of physiological autophagy, a membrane-driven lysosomal recycling mechanism
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and curiosity-driven working culture. Research activities are carried out in research groups organised into three multidisciplinary research programmes. For further information please visit https
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author) in the field of computational biophysics (molecular dynamics simulations and/or quantum chemistry). Any experience in development and application of AI/ML methods in tandem with modeling and
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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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research We conduct data-driven research to understand the pathogenesis of human diseases, with a focus on metabolic disorders, such as obesity, metabolic dysfunction-associated steatotic liver disease, type
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integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks based on single-cell and spatial omics data, and (iii
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for extension through application for further funding by the applicant and PI. Our research We conduct data-driven research to understand the pathogenesis of human diseases, with a focus on metabolic disorders