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Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
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advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
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new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
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involving cell culture and animal models, including standard molecular and cellular techniques such as Western blotting, immunofluorescence staining, and microscopy. Experience with DNA and RNA extraction
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aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants
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mechanistic conclusions. The project will involve some experimental evaluation of models in collaboration with researchers at the Linnaeus University. The recruited doctoral student will be enrolled the DDLS
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in vivo models. Infrastructure and expertise in various so-called omics technologies, single-cell biology, bioinformatics, drug development, and more are available locally through the SciLifeLab
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lab and instruments clean and organized, as a postdoctoral researcher in the group you need to be able to be a role model in that sense. You must be very organized and systematic in your work. As an
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millions of species. However, computational challenges exist in using these massive genomics datasets for species delimitation. The multispecies coalescent (MSC) model offers a framework for understanding
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the Department of Proteomics. The group of Paul Hudson does research on bacteria that fix carbon dioxide, such as cyanobacteria. Cyanobacteria in particular are also models for carbon fixation in plant