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-efficient machine learning framework that leverages graph grammar to inverse-design polymers with tailored thermal and mechanical properties. By interpreting molecules as graph networks, they will train a
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researchers in an effort to investigate and analyze program productivity. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: Learning
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Analyzing results and simulating environments of interest Quantum Information and Sensing Nuclear Science and Weapon Effects Artificial Intelligence, Machine Learning, and Cyber Security Materials, Extreme
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condition leading to medical discharge following combat related trauma in our military. Learning opportunities include, but are not limited to: exposure to various aspects of pre-clinical research by
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through the Global Emerging Infections Surveillance Program Office. The objective of the GTD Study is to acquire cross-continent comparable data on the epidemiology and etiology of enteric disease threats
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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 military Service members with extremity amputations. Why should I apply? Under the guidance of mentor(s), you will gain hands-on experience to complement your education and support your academic and
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opportunity is with the DCPH-A Toxicology Directorate that provides toxicological assessment of novel military-relevant compounds (MRC) currently under research, development, testing, and evaluation (RDT&E
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for developing advanced monitoring solutions, creating in silico computer models for mimicking human physiology in trauma, and automating ultrasound image interpretation through deep learning model development
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Anderson, Blount, Knox, Loudon, Roane, and Sevier counties the opportunity to learn about foundational computer and computational science skills. Students will be mentored by ORNL research and technical