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Job Description The Yale School of Medicine, Department of Psychiatry, is recruiting one highly motivated and successful bioinformatics postdoctoral associate to begin this fall, who aspires
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, preparing manuscripts, drafting and submitting competitive internal and external grants Perform other duties as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics
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for data acquisition and apply bioinformatics tools to create novel analytical pipelines for analysis of multidimensional data sets. The project will involve (but not be limited to) applying
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
chemistry, statistics, bioinformatics, geography, or epidemiology for an NIEHS funded T32 postdoctoral fellowship in Environmental Science and Engineering. The initial appointment period is 1 year with a
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competition in a coinfection, thereby becoming more virulent. This project will involve a combination of bioinformatic, genomic, transcriptomic and laboratory manipulation of the selected parasite lines
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. Publication and Presentation: Publish research findings in high-impact journals and present at scientific conferences. Qualifications: Educational Background: Ph.D. in bioinformatics, computational biology
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in computational biology, biomedical engineering, bioinformatics, computer science, statistics, or a related field. Strong background in machine learning, data integration, and high-dimensional data
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of novel analysis approaches and the interpretation of the outputs from these analyses. The successful candidate will develop and implement bioinformatics pipelines to analyse thousands of bacterial and
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immunology, flow cytometry, and or cellular metabolism, and should have a strong foundation in bioinformatic analysis. (Examples of previous work includes PMID 35169026, 35256539, 32125282). The position is
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experimental data using advanced bioinformatics tools and contributing to the development of innovative methodologies, developing novel computational models, actively participating in lab and group meetings