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cancer biology, pathology, immunology, bioinformatics, and related disciplines; present findings at laboratory meetings and national or international scientific conferences; prepare manuscripts
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growth assays, inoculation experiments, and phenotyping of mycorrhization and plant growth responses. - Analyze omics datasets and contribute to bioinformatic and statistical interpretation of results 30
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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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glycolytic rate assays (ECAR/GlycoPER). Function 3 (15%) Analyze, interpret, and integrate transcriptomic, poly(A) mapping, and proteomic datasets using bioinformatic and statistical tools in collaboration
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of mycorrhization and plant growth responses. Analyze omics datasets and contribute to bioinformatic and statistical interpretation of results 30% of the time will be spent on preparing manuscripts, figures, reports