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includes a diverse team of researchers working on crop breeding, genomics, genetics, curation, and bioinformatics. This is a benefit eligible, non-tenure track position available for two years. The project
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biopolymer modification for functional films or food products. · Experience in protein hydrolysis and the utilization of hydrolysates as functional ingredients. · Familiarity with bioinformatics-based
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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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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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
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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the following areas: Immunology Systems biology/bioinformatics Single cell transcriptomics/proteogenomics Protein engineering/directed evolution with yeast, phage, or mRNA/ribosome display technology
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MHz with cryoprobes and two 600 MHz spectrometers); mass spectrometry and super-resolution imaging facilities, and is the world headquarters of the Research Collaboratory for Structural Bioinformatics
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graduating Ph.D. student or a recent Ph.D. graduate in one or more of the following areas: Horticulture or food science Bioinformatics Toxicology Analytical chemistry Canine science Data science or
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programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge metabolomics, genomics, molecular biology, and bioinformatics