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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | about 8 hours ago
-Resident CD8 and γδ T-cell Circuits Mediate Immune Response in Merkel Cell Carcinoma and Predict Immunotherapy Efficacy 2023 Nature: PD-1 instructs a tumor-suppressive metabolic program that restricts
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B cell lymphomas including diffuse large B cell lymphoma and Burkitt lymphoma. They arise as a byproduct of somatic hypermutation, when the enzyme activation-induced deaminase (AID) generates DNA
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stationary and mobile energy storage systems with focus on battery degradation and cell-to-cell variations Analyzing the impact of battery chemistry, aging history, operational profiles, and pack architecture
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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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not limited to bacterial sepsis, viral infections, and cancer. Candidate will perform in vitro and in vivo experiments and contribute to the laboratory research program. The candidate will organize
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-saving research on vaccines and infectious diseases. The Tran Lab is seeking a motivated Postdoctoral Fellow. Primary Duties Develop human endothelial cell models for studying IgG recycling, catabolism
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genetic alteration of cis -regulatory elements and genes with genomic and molecular techniques to study the genetics underlying crop shoot traits. Analyze next-generation sequencing bulk and single-cell
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squamous cell carcinoma (cSCC) progression using molecular, cellular, genomic, and animal model approaches. This full-time postdoctoral position will support NIH-funded and foundation-funded research
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Experience Hands-on experience with mouse models and in vivo experiments Required License/Registration/Certification N/A Physical Requirements Check all that apply: ☒Sitting at computer work station for long
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analyses, as well as potentially other data layers (ATAC-seq, CROP-seq, spatial, live cell imaging, metabolic analyses) Adapt and apply computational approaches for translational cancer research Collaborate