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microorganisms or environmental isolates Multi-omics techniques (e.g., transcriptomics, proteomics, metabolomics) Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques Analysis of next
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, or field settings. Experience with molecular biology techniques such as DNA extraction, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software
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catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
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