Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Job Posting Title: Acoustic Signal Processing Algorithm Design & Data Analysis Engineering Scientist Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All
-
a motivated individual to support research and development tasks relating to algorithm development and data analytics requiring a background in the geosciences and data sciences. This includes tasks
-
structure data to test existing algorithms and design improved methodologies for clinical applications. Purpose The Research Engineering Scientist Assistant will support research in AI for healthcare and drug
-
Sciences Laboratory (SISL). Responsibilities Conduct analysis, modeling, software and algorithm development in various disciplines such as underwater acoustics, ocean propagation modeling and SONAR
-
analysis, modeling, software and algorithm development in various disciplines such as underwater acoustics, signal processing and target strength modeling. Prototype scientific algorithms for proof
-
. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
-
to help develop computational methods and algorithms for novel bi-directional brain computer interfaces. Responsibilities Develop computational methods for analyzing and modeling complex neural
-
not limited to using UAV platforms to characterize active fire thermal and gas emissions, improve spreading models and detection algorithms, and assessing post-fire effects. The aim of the project is to
-
networked and sonar systems including algorithm design, implementation, verification, and performance assessment in the Advanced Technology Laboratory (ATL) . Responsibilities Design and develop high
-
with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop