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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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. 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
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, imaging techniques, and bioinformatic analysis. Successful applicants will need to work both independently and collaboratively, to exhibit excellent skills in scientific communication, and dedicated
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-institutional projects in active collaborative pancreas research with other academic designated facilities Interpret data, and analysis for the development of scientific manuscripts and presentations at national
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Cell Biology A working knowledge of computer software for data analysis and presentation. Experience with animal modes Preferred Qualifications: Background in perinatal biology Knowledge, Skills, and
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, and treatment of soft tissue sarcomas Genome-wide regulatory screens in keratinocytes and skin cancer models Key Responsibilities: Conducting DNA, RNA, and single-cell sequencing and analysis Collect
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single-cell transcriptomic data. The candidate should be proficient in, or highly motivated to learn cancer data science, machine learning, and high throughput sequencing analysis. Successful applicants
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populations and synaptic inputs Large-scale extracellular electrophysiology (Neuropixels) Biophysical modeling and construction of ML-based models Statistical analysis of single-cell and population-level
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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