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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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and code repositories for open-source software related to UAV imagery processing and ecological community dynamics. You will also have the opportunity to take on-line courses in scientific topics
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will participate closely with staff within the Combat Casualty Care and Operational Medicine Directorate at NAMRU-SA. Why should I apply? Over the course of your appointment, it is anticipated that you
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population and comparative genomics to examine genetic diversity, selection, pangenome relationships, and functional conservation. You will also develop reproducible GPU- and CPU-based high-performance
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implementation of the Presidential Fitness Test, with recommendations for both short-term and long-term adoption and sustainability. You may also train in the following activities: Gain experience collaborating
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influence drape behavior and identify the most predictive traits for evaluating fabric performance. Machine-learning tools may also be used to examine whether certain fiber traits associated with drape have
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food, food contact materials, and agricultural samples. Throughout the course of this research project, you will gain experience in developing machine learning tools for the identification and analysis
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, Safety and Health (ES&H) requirements of the hosting facility, including but not limited to, COVID-19 requirements (e.g. facial covering, physical distancing, testing, vaccination). Questions: Please visit
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, or related data manipulation and analysis software Strong scientific and technical writing skills Experience with analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross