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the following experience would be particularly useful. Please list the relevant experience in the cover letter. Extensive experience in immunology. In-depth knowledge of human and/or mouse immune cell
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modalities, including functional MRI, diffusion MRI, and invasive connectivity methods such as tracer data. Demonstrated expert-level knowledge of these topics, for example, by creating an online brain atlas
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for an individual who is seeking to advance their skill set and depth of knowledge, along with finely honing their existing research skills. This person will perform and oversee 2-3 major research projects
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collaborative training and knowledge-sharing activities. Working Conditions/Equipment: Ability to travel to off-campus locations regularly, trips can be 1-2 weeks long. Working in an outdoor field setting
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for knowledge synthesis and RAG. Lab management, cleaning and safety monitoring, and student mentoring. Proposal and paper writing. Guest teaching for bioprocess engineering class. Project coordination/reporting
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to reverse genetics systems or viral culture. Advanced statistical/data analysis skills. Curiosity about virology (extensive prior knowledge not required; a strong desire to learn is essential). Qualifications
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Genetics, Fisheries Science, Statistics or related disciplines Experience in basic laboratory techniques Thorough knowledge of population genetics/genomics Experience with the analysis of large-scale genomic
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, teamwork, and a thirst for knowledge and scientific progress. Experience with animal work is desired but not required. The job responsibility includes designing, conducting, and evaluating experiments
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pluripotent stem cell (iPSC) cultures is advantageous. Knowledge of flow cytometry, cell sorting, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively
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research. Work will include analysis of spatial and related data (vector, raster, imagery) sufficient to support multi-scale and/or multi-resource planning, assessments, and monitoring. Knowledge of data and