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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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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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, teamwork, and a thirst for knowledge and scientific progress. Experience with animal work is desired but not required. Applicants from traditionally underrepresented groups are strongly encouraged to apply
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will require knowledge and experience with immunotherapies, peptides, chemical and biochemical analysis, and cancer models. Project work will involve peptides, formulation, analytical techniques, and use
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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
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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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compliance with good laboratory practice including the maintenance of adequate research records. Performs quality checks of brain PET/MRI cognitive, clinical, genetic, and proteomic data and manages them in
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candidate with experience, knowledge and a portfolio of research with young children learning two languages. This individual will work closely with a research team of linguists, psychologists, neuroscientists
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-development and refinement of conceptual models; devising management scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief