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Field
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI, fMRI, DTI
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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(or related viruses) and/or reverse genetics systems Performing and analysing nanopore-based sequencing Experience in both performing and the bioinformatic analyses of datasets from genetics/transcriptomics
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in microbiology/molecular biology demonstrating these skills is highly preferred. Additional consideration will be given to applicants with a background in bioinformatics. Contact Information: Email
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, Artificial Intelligence, Neural Networks, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience in writing grant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Requirements Ph.D. in Bioinformatics, Biomedical Informatics, Computer Science, or a related field. Required Qualifications, Competencies, and Experience NA Preferred Qualifications, Competencies, and Experience
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in bioinformatics analysis is highly desirable. Excellent problem-solving and critical thinking skills. Excellent communication skills and ability to collaborate effectively within interdisciplinary
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fungal ecology, (meta-)genomics, bioinformatics, and multivariate statistics. Experiences in forest ecology and biogeochemistry are welcomed but not required. You are highly self-motivated and committed
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Â Â Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications