-
University as well as with key stakeholders from the National Forest System and state level entities. The postdoc will generate large genome-scale datasets with a variety of techniques such as Genotyping by
-
selected VR platforms (e.g., ENGAGE VR) Help coordinate data collection efforts and analyze results from user interaction studies Participate in regular team meetings and collaborate with faculty, staff, and
-
coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets
-
interpretation of study results, and work with a multidisciplinary team to advance The Dunn Lab’s research mission. All studies will involve analysis of data from large-scale epidemiological studies that have
-
, including epigenome-wide association studies (EWAS) and causal inference methods. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal
-
-house CFD software packages. (3) Designing and developing CFD sub-models for application to a broad range of CFD problems. (4) Using high-performance computing (HPC) to accelerate complex, large-scale
-
and sequencing Illumina and/or Nanopore sequencing libraries, or implementing and optimizing Ribo-Seq or ribosome profiling, or analyzing large-scale genomic data (e.g., entire genomes and