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Field
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dynamics, applying advanced non-targeted metabolomic approaches using high-resolution mass spectrometry, including data processing, metabolite annotation and identification workflows, as
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experiments; lead experimental campaigns and contribute to operations as needed Shape independent research directions and collaborate to apply ML tools across AWA experiments Document methods and results
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to work on the weekend and/or after normal hours and travel as required. Please note: This position is grant funded; future employment may be contingent upon future funding. Apply! Submitting a cover
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to guide experimental R&D and thus a close connection to experimental efforts will be critical. The candidate will work with both AspenPlus and other process modeling tools. The successful candidate will be
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& computational analysis (choose a combination) Single-cell RNA-seq analysis (e.g., Seurat/Scanpy, QC, integration/batch correction, clustering, annotation) Multimodal integration and/or feature engineering
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. We expect that you Hold a PhD (or view to obtain a PhD degree) in economics, health economics, statistics, data science, or a related field. (Please note that, in accordance with the rules
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strong record of scientific accomplishments, including peer-reviewed publications and scientific presentations, as demonstrated in application materials. NOTE: To be appointed at the Postdoctoral
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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is expected to be in residence and engaged with faculty and the research environment throughout the appointment. Please note the appointment is one year with the expectation of a second-year renewal
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ability to manufacture durable structures at the technological scale? Do we have experimental tools for a consistent and complete mechanical assessment of vdW materials across the full thickness range, from