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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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, or other related disciplines Experience in virology, population genetics, molecular biology, or bioinformatics/computational biology to study the evolutionary dynamics of infectious diseases Experience in
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, computer simulations and various statistical approaches to increase understanding of the ecological and evolutionary processes that underlie speciation and ecological diversification in the context
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, evolutionary theory, quantitative genetics, data science, toxicology, and law. Within this project, our group at the CRG focuses on the analysis of bulk and single cell RNA-seq from five different model species
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, Cell Biology , Climate-change Biology , Computational biology , Ecology , Epigenetics , Evolution , Evolutionary Biology , Immunology , Infectious Diseases , marine biolog , Mathematical Modeling
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We are seeking a highly motivated Postdoctoral Researcher with expertise in computational biology, deep mutational scanning data, and generative artificial intelligence (AI). The successful
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relevant fields of biology (e.g., systems, evolutionary, developmental, computational), physics, mathematics or related fields. In the appointment process, special attention will be given to research skills
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: 270175818 Position: Postdoctoral Research Associate Description: The Department of Ecology and Evolutionary Biology (EEB) at Princeton University invites applications from postdoctoral research associates
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in biology, forest sciences, environmental sciences, or data sciences. A strong background or motivation to learn ecological genetics and evolutionary biology as well as competence in bioinformatics
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structure and our propensity to lie – and test under which social and environmental conditions these two features spontaneously emerge as beneficial and stable strategies that boost the evolutionary fitness