23 mathematical-analysis-math-physics Postdoctoral positions at University of Colorado
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nanoparticle development and delivery. · Strong data analysis, communication, and scientific writing skills. Knowledge, Skills and Abilities: · Deep understanding of molecular biology, gene
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on their individualized data analysis. · Work on an organized record of dry lab scientific research with interpretable data visualizations and results in Github (e.g., using Jupyter notebook). Work Location: Onsite
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molecular biology techniques Experience in standard computer software related to writing, data analysis, and data presentation. Condition of Employment: Willingness to conduct in vivo experiments in mouse
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neuroscience, biophysics, or similar fields. Mathematics/Physics or related science disciplines will also be considered. Preferred Qualifications: Higher priority will be given to candidates with experience in
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Zebrafish and/or mouse skeletal and non-skeletal tissue harvest for histological analysis, including embedding, sectioning and imaging Fluorescent imaging (lightsheet, confocal, dissecting) of zebrafish
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Knowledge, Skills and Abilities: ● Immunology ● Record keeping ● Communication ● Manuscript writing ● Capable of performing single cell sequencing experiments and analysis
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experiments Perform microscopy-based imaging techniques to study membrane and vesicle trafficking Carry out DNA, RNA harvesting for single-cell sequencing and analysis. Design, plan, and troubleshoot
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to study leukemia pathogenesis. Analysis and Publication of Research Data (20% of Time Spent) Mentoring of students and technical staff (5% of Time Spent) Prepare data and manuscripts for publication Prepare
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. The selected candidate will assist with projects involving analysis of longitudinal data with missing, correlated data, and truncated outcome data. Pursuit of independent research that aligns with the project
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. Use of animal model systems to study leukemia pathogenesis. Analysis and Publication of Research Data (20% of Time Spent) Mentoring of students and technical staff (5% of Time Spent) Prepare data and