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– from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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considered if willing to learn. Interest in tumor metabolism and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing
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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The fellow will be involved in bioinformatics and statistical analysis in genetics
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of successful research projects and publications. Preferably in the areas of genomics and bioinformatics. Excellent analytical and problem-solving skills. Effective communication and collaboration abilities. City
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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional genetics, plant physiological ecology and remote sensing. All candidates must have received a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
is important to note that this position is contingent on T32 funding. Education and Experience: PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of
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— from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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the harnessing and optimizing of T cell function for cancer immunotherapy using genetically modified mouse models, flow cytometry, q-PCR, RNA-seq, western blot, single cell RNA seq, bioinformatics, and