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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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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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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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, 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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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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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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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
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applicant should have a proven track record of publications, have previous experience with genomics data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and will
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well as close interactions with theoretical groups during the data analysis and interpretation. Your profile You have completed a PhD degree in solid state physics or materials science You have an excellent
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, integration, clustering, and annotation ● Proficiency in Python and/or R for large-scale data analysis ● Experience developing reproducible workflows, pipelines, and scalable data-processing frameworks