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work-ups; daily blood component inventory analysis; special needs consultations (CMV specific, irradiated, washed, fresh, HLA-matched platelets, etc.); blood component therapy; massive transfusion
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work-ups; daily blood component inventory analysis; special needs consultations (CMV specific, irradiated, washed, fresh, HLA-matched platelets, etc.); blood component therapy; massive transfusion
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data analysis. Previous experience with the following is highly desirable: Data Processing: Proficiency in analyzing high-throughput sequencing data, including Whole Exome Sequencing, RNA sequencing, and
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: Clinical research coordination and operational management Human motion analysis, gait assessment, and rehabilitation Publication of peer-reviewed research in high-impact journals Excellent communication
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supplement our clinical workload. Fellows will be exposed to a full range of techniques: flow cytometry, DNA content analysis, immunoperoxidase procedures, FISH, conventional karyotyping, and other molecular
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molecular biology techniques, microscopy, immunohistochemistry, FACS analysis, viral vectors, stem cells and genomics.. Experience with small animal surgical procedures are strongly preferred. The ideal
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systems (EHRs) throughout medical practice that was promoted and accelerated by the HITECH Act of 2009, and the more general advances in data generation and analysis, there is a critical need in clinical
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analysis and handling omics' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance
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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling omics
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; or 5) single-cell RNA/ATAC sequencing analysis and spatial transcriptomics. Candidates must hold a PhD degree. To apply, please visit: https://recruit.apo.ucla.edu/JPF10108 The University of California