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how well reported dynamics of decline in rare plant species align with inferred trajectories of effective population size. Conversely, the project will also address whether habitat and species
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group using DNA sequencing and other microbial characterizations to describe and understand process in industrial water contexts. In addition to the specific nature of this researcher project, we work
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sequencing, genome-wide data integration, statistical modeling, and hypothesis-driven experimental design, preparing them for leadership roles at the interface of molecular biology and data science. Your Tasks
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garden experiments to test how plant performance is determined by plant genotype, the environment (above- and belowground parasite and warming in different combinations and sequences), and their
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Project Description: The specific task of this PhD position is to develop a forensic air sampling method, protocol, and device for combined human and non-human environmental DNA, to collect and sequence
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parasite and warming in different combinations and sequences), and their interaction. Plant performance will be assessed by measuring life history traits and fitness and using hyperspectral imaging of both
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how sequence and structural variation shape kinase activity and substrate selectivity, and apply these insights to the dark kinome, generating the first molecular tools to probe these understudied
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-cell metagenomic analysis Single-cell metagenomic sequencing (scMetaG) can provide maximum-resolution insights into complex microbial communities. However, existing bioinformatic tools are not equipped
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an individual Resistant, Tolerant, or Susceptible (R/T/S) to a virus? That is the key question we aim to answer in this PhD study. We have gathered data on viral outbreaks over ~20 years and sequenced hundreds
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identification of microbes, including metagenomics and bioinformatics. Training Training will include cultivation of soil bacteria, quantitative PCR, amplicon-based sequencing, whole genome sequencing, and