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applications. Addressing food and nutritional security requires novel ways of producing sustainable, safe, affordable, healthy and flavourful food. Europe alone faces numerous challenges related to the rise in
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using unique novel mouse models, spatial technologies and analytical methods. Postdoctoral Researcher in Functional Cancer Microbiome through the NORPOD program NORPOD is a collaborative postdoctoral
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experience during their PhD and postdoc periods. The selected group leaders are expected to initiate a new independent research program in one of FIMM’s research fields. Background FIMM is a leading molecular
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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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system modelling and assessment methods. The candidates must present strong research achievements in at least two of the research fields and application areas mentioned above as well as proof of successful
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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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models, algorithms and data structures for high throughput sequencing data with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University
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, developmental biology, genetics, biomedicine, or another appropriate field. Previous experience in confocal imaging and image analysis, scRNA-seq data analysis, or genetically engineered mouse models is
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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