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experimental microbiological and biogeochemical laboratory work. Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/Description: The Postdoctoral Research Associate will independently conduct biomedical research on substance use disorders using molecular/omics, behavioral, and computational/bioinformatic techniques, analyze
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analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and metatranscriptomes. • Publish (as lead and co-author) in leading
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of neurodegenerative movement disorders. Experience with cell culture and molecular biology methods, as well as bioinformatics (R, etc.) are required; Programming skills in different languages (Matlab, R) and experience
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biochemistry, bioinformatics, single cell genomics, epigenetics, pharmacology and pathology. The Nelson laboratory website provides additional information: https://research.fhcrc.org/peternelson/en.html
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field. Strong background and expertise in bioremediation techniques. Proven expertise in multi-omics techniques. Experience in molecular biology, bioinformatics and biostatistics Demonstrated ability
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bioinformatic tools, including phylogenetics and methods for inferring signatures of natural selection. The position is supposed to be filled at the earliest possible date and initially funded for 2 years with
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interactions with drastically increased scale and efficiency. The ideal candidate has experience or a strong desire to build bioinformatics tools for interpreting high-throughput mass spectrometry or DNA
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on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning of fibers, protein engineering, material characterization and bioinformatics
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of the relevant fields (e.g. Plant Pathology, Mycology, Microbiology, Population genetics, Genomics, Bioinformatics or related science). Preferred Qualifications: Strong background in fungal biology & genetics