-
mechanics, FEA, CFD, or equivalent field. Proficiency in one or multiple finite element analysis software (e.g., ABAQUS, LS-Dyna, ANSYS), and in computational fluid dynamic software (e.g., Fluent, CFX
-
complex data sets generated from experiments, often using bioinformatics tools and statistical methods to interpret results and draw meaningful conclusions. Publication and Dissemination: Writing and
-
principles into survey design and data interpretation. ● Lead data collection and statistical analysis. ● Collaborate with colleagues to refine research questions, approaches, and methods, and to publicly
-
. The incumbent will work with NMFS scientists to create various AI/ML models, but will be particularly focused on deriving methods to assess the accuracy and precision of resultant automated data sets in
-
). Review laboratory methods manual, scientific journals, abstracts and other literature for information applicable to research experiments Collect, organize, analyze and draw conclusions from experimental
-
) and treatment as prevention (TasP) in populations who need it most. Training will also emphasize on: innovative state-of-the-science statistical and design methods, c.) community engagement through
-
fundamental training by interdisciplinary faculty in the area of informatics and health data science research using translational, population health, and health equity methods and practices. Establish
-
, innate immunity, autophagy, and/or epigenetic/transcription factor analysis preferred. Excellent communication skills in English (both verbal and written) required. Minimum of one first-author published