20 programming-"https:"-"https:"-"https:"-"HFML-FELIX" Postdoctoral positions at St Jude Children's Research Hospital
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
. • Strong computational and programming skills (Python, R, Linux, and high-performance computing environments). • Demonstrated experience in genomics data analysis, evidenced by peer-reviewed publications
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designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes access to grant writing workshops, individual development plans
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. Familiarity with programming languages such as MATLAB and Python, and the ability to work with large imaging datasets Excellent communication and presentation skills, with the ability to prepare high-quality
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preclinical models to define disease-associated metabolic and epigenetic programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge
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Postdoctoral Research Associate - Developmental Neurobiology - Muscle-to-Brain Communication & Aging
specifically designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes access to grant writing workshops, individual development
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and cancer, understanding these connections allows us to gain new insights into biological concepts and disease targets. We are particularly interested in investigating the metabolic programs (e.g
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. Customized Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes
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and or basic programing skills/command operations is a plus High level of self-motivation and organization Strong problem-solving skills and motivation to learn new techniques Ability of thrive in a
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific programming languages