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Field
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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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of senescence and fibrosis on a cellular level within diseased human heart tissue. Your skills and attributes for success: A PhD or equivalent professional qualification and/or experience in the field
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Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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Professor Joanne Ngeow. The Research Associate/Fellow, Bioinformatics will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer
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: Completion or near completion of a PhD in bioinformatics, statistics, data science, microbiology, nutrition science or immunology. An emerging profile in research in microbiome, immunological disease
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Experience in bioinformatics analysis Experience in the strain isolation and cultivation of pure cultures *Applicants who are about to submit their PhD thesis or are awaiting their viva are welcome to apply
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bioinformatics analysis Experience in the strain isolation and cultivation of pure cultures Applicants who are about to submit their PhD thesis or are awaiting their viva are welcome to apply. Applications
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website at https://agc.um6p.ma for further details. The ideal candidate must possess a PhD degree in Microbiology, Molecular Biology, Microbial Genomics, Bioinformatics, or an equivalent field. They should
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teaching activities. You hold a PhD in microbiology/microbial ecology or similar, and you have experience in bioinformatic methods for analyzing environmental sequencing data (metagenomes, amplicons, long