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genetic alteration of cis -regulatory elements and genes with genomic and molecular techniques to study the genetics underlying crop shoot traits. Analyze next-generation sequencing bulk and single-cell
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metabolomics datasets. Research activities will include both targeted and non-targeted metabolite profiling of a wide range of sample types, including animal models, human cell lines and cohorts, plants
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the start date. Preferred Qualifications: Experience in recombinant protein expression in mammalian and insect cell culture, including transient transfection and baculovirus generation in Sf9 cells
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utilizing ex vivo airway epithelial cell models, including air-liquid interface (ALI) culture systems. Experience analyzing and interpreting transcriptomic datasets (e.g., RNA-seq). Experience working with
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originality Experience in designing, running, and analyzing data from image-based physiology and single-cell activity profiling Preferred Qualifications: Experience with cultivation techniques for plant, fungal
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production of immunogens, and will evaluate immune responses using a range of biochemical and immunological assays. The role includes working in BSL-2 laboratory environments, performing mammalian cell culture
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) calculations, crystal structure prediction, NMR simulation, scientific programming, or quantitative data analysis. Demonstrated ability to conduct independent research, analyze complex datasets, communicate
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imagery, and conduct APSIM simulations to address research questions related to crop physiology, plant breeding, nitrogen management, water quality, crop rotations, and predictive agriculture. The position
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transport measurements. The work will include planning and conducting experiments, critically analyzing experimental results and performing numerical calculations or simulations where appropriate
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Researcher will develop machine learning (ML)-based methods for reaction dynamics simulations in both gas-phase and condensed-phase systems. The primary focus of this position is the development and