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Field
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including the integration of large-scale human genome-wide association (GWAS) with bulk and single-cell (e.g. scRNA-seq and scATAC-seq) sequencing, optimization of in-vitro and in-vivo exposure protocols, and
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a possible extension depending on the availability of funds. The individual will be involved in ongoing research projects involving developing, implementing, optimizing, and applying MR-based
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as assigned. Flexibility and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can optimally interact with a varied population of diverse audiences
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digestion), and should have documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with
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to manuscript preparation, grant applications, and presentations at academic conferences. Maintain and optimize reproducible pipelines using tools such as DADA2, Kraken2, HUMAnN, and relevant statistical
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immune assays. The research will focus on developing and optimizing novel gene modified T-cells against solid tumors. The postdoctoral associate PhD will work directly with the PI. Job Duties Conducts pre
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in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
community; develop and optimize microbiology and molecular methods for the detection, quantification, and characterization of pathogens and/or microbial in collected samples; perform DNA/RNA extraction, PCR
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(e.g., wavefront shaping, beam switching, non-Hermitian photonics, miniaturization of optical components and fundamental limits) and optimization theory (e.g., linear and quadratic programming, manifold
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach