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culture, expertise in phylogenetic analysis of large NGS datasets, and proficiency with relevant bioinformatic pipelines, statistical tools, and software is required. This experience could include graduate
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 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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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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using advanced bioinformatics and models. Specially, the postdoc will use our globally collected meta-omics data to understand controls, population dynamics, and ecosystem impact of marine microbiomes
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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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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
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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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, proficiency in bioinformatics tools and programming languages (e.g., R, Python), excellent communication skills, and a strong record of peer-reviewed publications. This experience could include graduate level
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, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures
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of nanoparticle formulations. Interpret data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as