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occur both in a laboratory quarantine facility and in agricultural fields or forests across the U.S. Learning Objectives: Under the guidance of a mentor, the fellow will gain experience in: Cooperating
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programming languages (including both MATLAB and Python) is preferred. Candidate should be motivated to learn new skills and research independently and as part of a team. Background knowledge in coastal
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Requirements Degree: Master's Degree or Doctoral Degree. Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data
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and experience with navigating science communications in a large government research institute and learn specific communication strategies that enable the success of WRAIR’s research mission and
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Learning the clinical trials process from start to finish, including SOP and batch record generation and identifying analytical testing requirements Participating with the Analytical Sciences and Technology
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or viability of encapsulated bio-components. Why should I apply? This appointment offers training and travel opportunities to enhance your fellowship experience. Anticipated learning objectives include
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physics, and testing/development of new sensors. You will learn from a team of scientists and technicians making measurements and deploying equipment and instruments in coastal areas and will have the
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development. You will learn and perform in-vitro screening methods to include checkerboard, MIC, biofilm, time-kill, zone of inhibitions, bacterial culture and bacterial quantification. You will gain experience
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conditions. Researchers will be encouraged to report findings at industry and scientific conferences as well as publish articles in scientific journals. Learning Objectives: Expected learning objectives
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. Given data from such “in the wild” techniques, CCDC ARL researchers are seeking to apply machine learning methods to both predict behavior and make inferences about the underlying processes that generate