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Field
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flow cytometry, mass cytometry (CyTOF), single-cell RNA sequencing, and T-cell receptor (TCR) repertoire analyses. Analyze complex immunological datasets using FlowJo, R, RStudio, and other statistical
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designing and conducting MR experiments, developing pulse sequences and experimental methods, modeling spin dynamics and relaxation, analyzing data, and interpreting the underlying physical mechanisms
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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies
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-resolution microscopy, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics. • Scientific Leadership: Independently manage project milestones, draft high-impact manuscripts, present findings
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research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other duties as
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sequencing library preparation is desirable. Previous computational experience is not essential, as training and support in bioinformatic and single-cell data analysis will be provided. The position would
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) biology and osteoarthritis - Mouse genetic models and lineage tracing - Single-cell RNA sequencing and spatial transcriptomics - Skeletal mechanobiology and functional loading models - Gene therapy and
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qPCR, sequence library preparation. These skills are critical for maintaining lab productivity and data integrity. b) Data analyses: skills in bioinformatics and high-throughput data analyses
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for protein-protein interactions), Chromatin immunoprecipitation (ChIP) and ChIP-sequencing sample prep, Cloning and plasmid construction (e.g., CRISPR/Cas9 vector design for gene editing), and Lentiviral
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RNA sequencing (scRNA-seq) data analysis is preferred. Additional experience in cancer immunology, neutrophil/myeloid cell biology, flow cytometry, bone marrow transplantation, bioinformatics