Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
experimental physics, wave propagation theory, atmospheric science, signal processing, information theory, inverse theory, and mathematical, numerical, and computational modeling. Computational facilities
-
institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
-
. Development and maturation of control algorithms is critical to achieving the potential benefits of these systems. NASA requires modeling and test capabilities to support this maturation, from control algorithm
-
using metasurfaces: Desired experiences of the candidates include (1) numerical modeling experience using commercial electromagnetic simulation tools, such as COMSOL, Ansys Lumerical, and (2) experiences
-
collection and data analysis over time tracking the storage study trends investigation of the bacteriophage excipient and its relationship to a mammalian cell culture host model research of mammalian cell
-
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The objectives of this research are to develop advanced ocean color algorithms that take advantage
-
with emphases on additive manufacturing pre-processing, post-processing, and in-situ and ex-situ processing data analyses. The position will require to work as a part of large AM applied research teams
-
team, providing validation data for analysis as well as correction factors accounting for unmodeled physics. The MDAO (Multi-Domain Analysis & Optimization)-based vehicle design configurations and
-
future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital
-
genomic data. Strong capability in programming languages commonly used in bioinformatics, including Python and R, for data analysis, statistical modeling, and visualization. Familiarity with high