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computational pipelines for high-throughput sequencing data analysis. Analyze bulk and single-cell transcriptomic datasets (RNA-seq, scRNA-seq). Integrate multi-omics data to uncover novel mechanisms of immune
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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emerging methodologies. Collect, manage, analyze, and interpret experimental data using appropriate statistical approaches. Prepare manuscripts for publication in peer-reviewed journals and present findings
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encoded FRET biosensors for mitochondrial functionality. - Implement innovative data analysis protocols and approaches for FRET/FLIM or radiometric FRET microscopy in cultured cell lines - Modify and/or
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datasets and remote sensing products (e.g., satellite-derived indices, geospatial data analysis) is highly desirable. The selected candidate will also provide support (30%) to a second project focusing of
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tissue to address these questions. Required Qualifications: • Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS) and analysis, immunofluorescence and confocal
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approaches, with a particular emphasis on imaging mass cytometry and transcriptomic analysis of human brain tissue. We are seeking a highly motivated and intellectually curious scientist who is passionate
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Requisition Id 17078 Overview: We are seeking a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate
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sc/snRNAseq experiments, data analysis and pathways analysis. The individual will also contribute his/her time towards writing manuscripts and review articles that directly result from his/her research
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include opportunities to participate in at-sea experiments for further data collection and testing. Duties/Responsibilities Research & Analysis (90%) Develop new techniques to characterize the upper-layer