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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required
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bioinformatics experience for gene expression and protein identification Outstanding communication skills and demonstrated expertise with writing and publishing in international peer-reviewed journals Preferred
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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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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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in microbiology/molecular biology demonstrating these skills is highly preferred. Additional consideration will be given to applicants with a background in bioinformatics. Contact Information: Email
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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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, including first authorship publications from previous research. Preferred Qualifications: Experience with small molecule/drug applications. Bioinformatics and/or programming expertise in languages such as R
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are seeking a highly motivated and independent scientist with a strong background in cancer immunology and bioinformatics, particularly single-cell transcriptomic analysis and dimensionality reduction
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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