Sort by
Refine Your Search
-
conditions, and conducting pre- and post-test material characterization to understand degradation mechanisms and inform future designs. Learning objectives for this project focus on acquiring expertise in
-
, improved, and further miniaturized. The learning objectives for this project are: (1) learning about the design and operation of an advanced laser induced breakdown spectroscopy system for downhole and harsh
-
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
-
consequences to sensitive species. Revisions also include updating values in the existing models that reflect new science and lessons learned over the last 15-years. The toolkit also includes evaluation tools
-
receive guidance from a mentor and will learn about conducting research analysis within OP. You will engage with current OP staff on policy analysis projects and assignments in one of the following focus
-
areas. These include, but are not limited to: Learning about technical writing methods and standards for government reports Gaining experience in numerous science areas related to the human
-
the distributions and potential conservation status of tree species as important elements of biodiversity, cultural heritage, and other ecosystem services. Learning Objectives: The research fellow will have the
-
partners, along with the databases we create. The geospatial smoke tradeoffs dataset can then be used in project planning. Learning Objectives: The fellow will develop professionally while engaging in
-
of military Service members with extremity amputations. Why should I apply? Under the guidance of mentor(s), you will gain hands-on experience to complement your education and support your academic and
-
improve federal transit operations and oversight. Projects may include: Performing exploratory data analysis across diverse FTA datasets. Building and evaluating statistical and machine learning models