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The successful candidate should have: Doctoral degree in a relevant field (e.g. bioinformatics, genetics, computer science or molecular biology) Proven programming skills (preferably Python, other languages also
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funded by the ERC consolidator grant project CONFSTAT – Conformally invariant and near critical models in statistical field theory. The work of the postdoctoral researcher will focus on studying
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project CONFSTAT – Conformally invariant and near critical models in statistical field theory. The work of the postdoctoral researcher will focus on studying conformally invariant models of statistical
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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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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
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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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sequencing data from up to 10,000 trees. We are using birches (Betula) as our model organism, as they have a relatively small genome, they are adapted to their local environments and there are accelerated
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minimum of one scientific peer-review publication related to the topic) and experience in using LCA software (e.g. SimaPro, Gabi or OpenLCA) or LCA databases in other modelling platforms have ability
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infrastructure data to model how government policy shapes cloud geography. The position can be tailored towards qualitative or quantitative work, depending on the researcher’s background. You will also contribute
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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