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Field
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improving population genomic and bioinformatic methods to analyze palaeogenomic data, funded by research grants from Formas, Vetenskapsrådet and Riksbankens Jubileumsfond. The Human Evolution program has
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. The participant may also have the opportunity to be involved with the development of novel algorithms, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses that may be deployed in
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to the application under CV/Resume. Required educations and experience Appropriate PhD in a related field. Preferred qualifications PhD, Computational Biology, Bioinformatics, Computer Science Training in statistics
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, statisticians, and computational biologists, as well as graduate and undergraduate students. The ideal candidate will have a Bachelor’s degree in Biology, Genetics, Bioinformatics, Evolutionary Biology
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and inhibitors · Immunohistochemistry, immunocytochemistry and confocal microscopy of membrane proteins · Transcriptomics, proteomics, and bioinformatic analysis of omics data · Mass
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and maintains genetic mouse lines. Perform aspects related to cellular and molecular biology research that include, but are not limited to: bulk RNA-sequencing, scRNA-sequencing, bioinformatics, qRT-PCR
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the project. Bioinformatics training can be provided. Ideal candidate should have strong background in molecular biology and interest in transcription or neurobiology. Where to apply Website https
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students. Requirements Skills/Qualifications A PhD and excellent academic record in Neuroscience, Cell Biology, Bioinformatics, or related field. Previous experience in hiPSC differentiation to neural cells
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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education Ph.D. in statistics, biostatistics, data science, bioinformatics or related field
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.). Collaboration with observational study coordination teams. Management and interpretation of experimental data using statistical and bioinformatics tools. Interdisciplinary collaboration with clinical, genetic