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Field
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salinization. Research will involve state-of-the-art metaproteomics, bioinformatics, and functional microbiome studies conducted in field trials, greenhouse experiments, and laboratory settings. This role will
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(clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome, and virulome profiling using tools such as MEGARes, CARD, VFDB, and
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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, bioinformatics, and/or human stem cells will be viewed as an asset Willing to work with animal models Fluent oral and written communication skills in English We are looking for talented and highly motivated
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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accumulation in grains and vegetables, genotype by environment interactions using molecular biology, quantitative genetics, and bioinformatics methods. Nutrition-centered preclinical and human studies
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resources Minimum Education and/or Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging
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Cancer Center, as well as Genomics, Bioinformatics, and Organoid Shared Resources. Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave
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advanced bioinformatic analyses of genomic data. The candidate will join a collaborative and interdisciplinary team with expertise in Arctic biology, genomics, and evolutionary theory, and will have the
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills