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experience in the study of gene regulation, hematopoiesis, bioinformatics analysis, and/or use of mouse models is preferred. Interested candidates should send their Curriculum Vitae and a cover letter
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about how you can be a part of AgriLife and make a difference in the world! Position Information The Texas A&M Center for Grazinglands and Ranch Management (CGRM) is seeking a Post-Doctoral Researcher to
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. - Process, analyze and interpret mass spectrometry data and complementary analytical data. - Assess the performance and limitations of the different approaches and propose methodological improvements
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
. Description: This opportunity is for projects that will support advancing our understanding of the lunar polar regions through the analysis of topography, imagery, illumination and thermal conditions, and
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human bladder tissue, and characterize IBC biology and its role in recurrent UTI pathogenesis. Work includes specimen processing and imaging and molecular analysis, image analysis, and contributing
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particular, the postdoctoral fellow will work on three complementary areas: - Development and optimization of imaging analysis protocols Improvement of hyperspectral and multispectral photoluminescence (HMSPL
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expertise in data analysis and statistical modelling. Where to apply E-mail [email protected] Requirements Research FieldPsychological sciences » Cognitive scienceEducation LevelPhD or equivalent
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application! Work assignments Research focus: implementation of an evidence-based digital support programme delivered through 1177 for informal caregivers of people with heart failure, combined with user
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explore the potential of extracellular vesicles and their molecular cargo as tools for molecular phenotyping, biomarker discovery and patient stratification in kidney disease. The work will be strongly
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
of reproducible bioinformatics pipelines using workflow-management and containerization tools, or high-performance or cloud computing for large genomic datasets. Experience with single-cell RNA-seq analysis using