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scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology
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. The goal of this research is to enhance power quality and security for Naval power systems using non-intrusive approaches, advanced signal processing tools and machine learning to advance anomaly detection
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researchers in an effort to develop medical automation research solutions. You will support various engineering and computer science aspects of the research projects focused on processing time-series data sets
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coastal wetlands; learn to use and maintain scientific instrumentation, including operation of surveying equipment and data loggers. This project seeks to analyze the effectiveness of marsh restoration
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reduction techniques and numerical methods for subsurface and surface flow processes. You will gain experience with forward hydrodynamic models developed in the Coastal Hydraulics Laboratory and contribute
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questions about the application process please email USGS@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should have received a master's degree in one
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pursuing a degree or have a degree in a science, technology, engineering or mathematics (STEM) discipline, public policy, law or other fields that supports the DOE mission. Point of Contact Renee Eligibility
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, or a related field is preferred. Point of Contact Justina Eligibility Requirements Degree: Master's Degree or Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (7 ) Environmental
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will learn the process of around preparations for organophosphorus nerve agent hydrolysis assays, as well as other laboratory opportunities when available. Finally, you will be encouraged to present
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with wildfire risk indices, fire behavior, and ecological processes. Proficiency with quantitative analysis tools and programming languages used for large datasets. Excellent communication skills and