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(FPIPT) includes evaluating technology for detection and mitigation of microorganisms in military relevant field settings. Under the guidance of a mentor, you will gain hands-on experience to complement
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(FPIPT) includes evaluating technology for detection and mitigation of microorganisms in military relevant field settings. Under the guidance of a mentor, you will gain hands-on experience to complement
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improve early detection of phytoplasmas, ultimately helping to reduce phytoplasma-related diseases. Learning Objectives: Under the guidance of a mentor, the fellow will have the opportunity to learn how
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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of economically valuable species and invasive species that may compete with economically valuable species or promote wildfire. Learning Objectives: The postdoctoral fellow will have the opportunity to apply
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objectives: Develop processes and technologies to manufacture free-form and aspheric optical surfaces for potential grazing incidence (X-Ray) and normal incidence ultraviolet, optical and infrared (UVOIR
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littoral environments. Of more general interests are the effects of atmospheric turbulence and gradients on source detection, localization, and classification, using both theoretical and experimental
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can enable low-cost and long-lasting planetary exploration missions to hot planets. Our research objective is to develop a sensor technology platform that is temperature and radiation tolerant using
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the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The objectives of this research are to develop advanced ocean color algorithms that take advantage