Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
-
saliva, serum, dried blood spots, and fingerprints; apply these methods to clinical samples derived from King’s biobanks and collaborators; Perform statistical analyses to identify biomarkers of clinical
-
the temporally intensified FIA inventories using appropriate statistical methods. Evaluate empirical results in terms of their ability to produce management-relevant information at the appropriate spatial and
-
advanced spatial statistical analyses related to environmental health risks (hotspot analyses, spatial regression analyses) Written or verbal proficiency in Hindi, Urdu, Bengali or another common South Asian
-
Molecular Biology program (http://cell.uark.edu), Statistics and Analytics program (https://statistics-analytics.uark.edu/index.php), and Center for Advanced Spatial Technologies (https://cast.uark.edu
-
, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge
-
environment collecting or analyzing data. Experience using GIS software to manipulate data and generate spatial data products (e.g., maps, web/story maps, etc.). Experience working with groups of stakeholders
-
candidate(s) will have knowledge and enthusiasm for waterfowl and experience with spatial and statistical models and coding to address the research objectives using modern statistical packages, open access
-
include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks
-
. Proficiency in statistics and spatial analyses and map-making using R and/or ArcGIS Experience in analysis of forestry and environmental data Strong communication, writing, and organizational abilities Desired