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RNA-seq data from single cells. For this, you need to be proficient in using existing tools for bioinformatics analysis. The work is varied, and there are great opportunities for personal development
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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/article/PPR/PPR800886 . Profile Master’s in bioinformatics, biotechnology, bioengineering, biomedicine, software engineering, data science, physics, or related fields Interest in multi-omics data analysis
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://europepmc.org/article/PPR/PPR800886 . Profile Master's in bioinformatics, biomedicine, bioengineering, biotechnology or related fields Interest in linking digital pathology with mechanistic experimental biology
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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modeling, bioinformatics, and real-world patient data, the lab is committed to transforming high-dimensional biomedical datasets into actionable insights that directly inform precision medicine and guide
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guidelines related to clinical and animal studies Proficiency in multi-omics data analysis, and bioinformatics, preferably preferred Excellent organizational skills, attention to detail, and the ability
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: Biomedicine and Pharmacology Developmental and Regenerative Biology Genomics, Proteomics and Bioinformatics Metabolism and Physiology Molecular and Cellular Biology Neuroscience Computational Structural Biology
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SPECIFICS The Uzun Lab at the Penn State College of Medicine, Department of Pediatrics, Hershey, PA, is seeking a postdoctoral scholar in Bioinformatics/Computational Biology. Our lab’s research interests
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets