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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative
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acquire additional skills and be involved in the analysis of single-cell RNA Sequencing, WES, and in situ transcriptomics data. Trainees will present their findings at regular lab meetings, departmental
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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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MINFLUX: data acquisition and new data/analysis tools Spatial Chemical Composition using label-free-IR imaging Converting cryo-electron tomograms into images for WCMs and Minecraft Studies on organelles in
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transformation Mechanisms of resistance to cancer therapies Cancer genetics, including sex-based differences in malignancy Candidates should hold a PhD, MD, or MD/PhD and demonstrate a strong track record of
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, biostatisticians, pathologists, data scientists, molecular biologists, and clinical researchers, all of whom contribute their unique expertise to our lab’s work. We employ a broad variety of analysis approaches and
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interdisciplinary teams, the design and execution of research studies and data analysis, with an overall goal to further the mission of St. Jude to advance research and cures for pediatric catastrophic diseases. St
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for immune cells analyses, B cell repertoire analysis and immunohistology are key tasks along with cloning, expression and purification of proteins, cell culture, etc. Qualifications: Highly-motivated
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or clinical trial data analysis is advantageous. Please include the following information with your Resume/CV: Cover letter briefly summarizing your research interests and career goals Contact information