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translational vaccinology within a highly collaborative research network. Within this opportunity, you will be engaged in the following learning objectives: Applying machine-learning/AI platforms including
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U.S. agricultural health, regulating genetically engineered organisms, administering the Animal Welfare Act and carrying out wildlife damage management activities. These efforts support the overall
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the preparedness mapping multidisciplinary group which will involve collaborating and learning from data scientists, health scientists, and evaluators from multiple branches in ISD. This group supports recipients in
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, Technology and Policy Program (DOE-STP) is designed to provide opportunities for recent graduates, postgraduates, established scientists, and faculty to participate in programs, projects, and activities
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researchers in an effort to learn and perform structure-based protein design of vaccines and antibodies. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your
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research focuses on blunt, blast and accelerative injury and protection; crew survival in military helicopters and combat vehicles; the en route care environment; human operator health and performance in
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are highly desirable. Familiarity with data science and machine learning applications for analytical chemistry, industrial/agricultural facilities, and techno-economic or life-cycle analysis is considered a
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) extracellular vesicle manufacturing and characterization high content imaging biomaterials bioreactors multiomics (proteomics/metabolomics) immunology machine learning/AI single cell profiling Point of Contact
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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technology or Artificial Intelligence (AI) tools to solve business or administrative problems, demonstrated knowledge with Machine Learning (ML) and AI tools. Strong integration experience in enterprise