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analyze single-cell RNA sequencing (scRNA-seq) datasets using biostatistical and bioinformatics approaches. Conduct molecular, cellular, biochemical, and immunological analyses to support research
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prevent vision loss. We are seeking to appoint a Postdoctoral Research Associate / Research Fellow within the bioinformatics and pathway discovery platform to be at the forefront of establishing statistical
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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with
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analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering, electronics, biostatistics, mathematics, physics, biomedical engineering, or
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/Qualifications Bachelor's or Master's degree in a field that enables computational analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering
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laboratory work, bioinformatic processing of Next Generation Sequencing data, and population genomic analyses, including demographic inference. The purpose of the fellowship is research training leading
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Columbia is seeking a highly motivated Postdoctoral Research Fellow (Computational Biology and Translational Bioinformatics) to join an innovative translational research program investigating the molecular
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Biology and Translational Bioinformatics) to join an innovative translational research program investigating the molecular mechanisms underlying ocular and neurodegenerative diseases. The successful
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should hold, or be close to completion of, PhD/DPhil in molecular microbiology or biochemistry. You must have relevant experience in molecular bacteriology, plasmid biology and bioinformatics, specifically
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clinical partners in Europe and the US has been established. The successful candidate will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties