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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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. Applicants should possess a Ph.D. degree in Biomedical Engineering, Biochemistry, Cancer Immunology, Genomics, Bioinformatics, or a related field, and demonstrate exceptional experimental, writing, and
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postdoctoral associate with expertise in computational biology and/or bioinformatics to join our interdisciplinary group studying the functional genomics of tandem repeat expansions and related structural
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techniques. -Experience analyzing omics data using bioinformatic tools. -Proven record of publishing first-author peer-reviewed papers. -Experience working with honey bee biology and/or beekeeping practices
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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. An interest in placental and/or fetal brain development and experience of genomics or transcriptomics and bioinformatics would be desirable. Salary Range: Salary Commensurate with Experience Create a Job Match
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are expected to utilize computational, biochemical, functional, and in vivo approaches including RNA omics and bioinformatics approaches. Experience with tools of RNA sequence analysis is desired. Minimum
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evolutionary/quantitative/population genetic analyses on existing large datasets. Apply and develop bioinformatic pipelines to analyze diversity data, especially in the context of pan-genome resources. Work