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Field
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evolutionary/quantitative/population genetic analyses on existing large datasets. Apply and develop bioinformatic pipelines to analyze diversity data, especially in the context of pan-genome resources. Work
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corresponding scientific project management is desirable Confident in independent bioinformatic and statistical analysis of high-throughput sequencing data Experience in working with biofilms is desirable
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
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with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University of Helsinki. The amount of sequencing data has increased enormously during the last
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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, and take an active role in current and future research. Dr. Issuree's team has expertise in the use of genome, epigenomic and transcriptomic assays and integrated bioinformatic analyses to uncover
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The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
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. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and