-
of the research project, research may also incorporate advanced optical diagnostics, quantitative image analysis, computational modeling, and remote sensing technologies to improve understanding, evaluation, and
-
, including topic modeling, named entity recognition, and text-data analysis. Learn to apply large language models to real-world environmental health questions and public health challenges. Participate in
-
to: Learning about aircraft systems engineering and systems analysis to support integrated design and performance assessment. Participating in aircraft design trade studies with a focus on propulsion–airframe
-
: Operationalize the ONT analysis pipeline - You will learn to conduct testing and follow-up analyses using the ONT sequencing output, organize accurate tracking of ONT sequencing outputs, metadata, and results, and
-
participate in the design and optimize processes to improve ingredient functionality, create distinctive flavors, and eliminate off tastes. Learning Objectives: You will be able to learn from multi-disciplinary
-
expand your research skills and knowledge under the mentorship of PhD-level scientists in entomological-based research, experimental design, and data analysis. Mentor(s): The mentor for this opportunity is
-
structural materials that are used in transportation. The candidate should have a background in infrastructure durability analysis, concrete structural properties, and a working knowledge of fiber-reinforced
-
diagnostics, quality management, biosafety science, program management and delivery, leadership, workforce development, education, evaluation, data analysis, technical writing and more. You will also have
-
the BioPermit information technology system and electronic database. Build skills in data management, analysis, and visualization of trends related to infectious biological-agent importation. Gain exposure
-
of the appointment start date. Master's is preferred, however bachelor's degree in data science or related field will also be considered. Preferred skills: Data analysis and visualization Strong analytical and problem