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degree. Applicants with experience in one or more of the following fields are encouraged to apply: Organoid culture Flow cytometry Microscopy Bioinformatics analysis Previous publications are considered a
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(desirable). Proficiency in relevant software for data analysis and structural visualization. Experience with in-silico discovery and bioinformatic analysis of antimicrobial genes/gene clusters, and associated
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scientific developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state
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computational and bioinformatics analyses of immunogenomics data, contribute to cutting-edge research in precision medicine for autoimmunity, and participate in industry collaborations. Project Focus: Develop
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-term evolutionary adaptation across related and unrelated species. The project will primarily involve bioinformatic analysis of large-scale genomic datasets, with opportunities for complementary
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of the following: primary human melanocyte culture, inflammatory skin disease, single cell bioinformatic analysis, murine models; and a proven ability to work both independently and collaboratively. The Department
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Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution
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, scientific rigor, and innovation. We work in close collaboration with clinicians and other experts in molecular virology, immunology, genomics, and bioinformatics. Qualifications PhD (completed or near
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biology-experimental and/or theoretical biophysics-experimental and/or computational genomics-computer science, statistics, and/or machine learning with applications relevant to genomics-bioinformatics
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researcher will collaborate closely with the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and