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submit grant proposals to secure research funding apply bioinformatics, biostatistics, and computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory
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of different immune cell subsets. These panels need to be validated and bioinformatics pipelines designed for standardized analysis of the data. In order to achieve the above a non-academic tenure track
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Ph.D. in Bioinformatics, Population Genetics, or Statistical Genomics and a first post-doc experience. Strong experience in next-generation sequencing (NGS) analysis in a Cloud computing environment is
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bioinformatics, biochemistry, cell culture, next generation sequencing, and animal models. Investment in career development, fostering critical research skills, scientific writing, and editing. A two-year
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Quantitative Research team comprising more than 15 researchers with expertise in statistics, epidemiology, and bioinformatics. The quantitative research team is dedicated to advancing global health through
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, Chemistry, Bioinformatics, Physics, Molecular Biology, Computer Science, or a related field. -Experience with hands-on wet-lab experiments, bioinformatics, additive manufacturing, nanomaterial design and
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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independent scientist with a strong background in cancer immunology and bioinformatics, particularly single-cell transcriptomic analysis and dimensionality reduction techniques such as tSNE. Our lab is focused
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biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical understanding Knowledge of statistical analysis and programming
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Sciences, Biotechnology, Bioinformatics or equivalent. You have a proven scientific track record evidenced by relevant publications. You have experience in the computational analysis of single cell and/or