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hierarchical, contextual knowledge for complex multi-modal scene understanding Neuro-symbolic architectures for representation, learning, reasoning and inference Biologically-inspired metacognitive AI paradigms
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grammar & machine learning for inverse-designing polymers with targeted thermo-mechanical properties by tuning the polymer chemistry & architecture, catering to Artic & Space applications. The framework
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candidate will have received a PhD in Biology (General), Cellular and Molecular Biology, Infectious Diseases and Zoonoses, Microbiology, Public Health, Virology, or similar field within the past five years
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. Qualifications The qualified candidate will have completed a PhD from an accredited institution in bioengineering, biomedical engineering, immunology, cell / molecular biology, physiology, or a related field
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program and complete the degree prior to the appointment start date. The ideal candidate would have some, but not necessarily all, of the following: PhD. in Materials Science, Chemical Engineering
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one another; and delivering world-class science, technology and land management. Research Project: The fellow will contribute their PhD-level social science research skills to understand how project
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. Qualifications The qualified candidate should hold or be currently pursuing a master's degree or PhD in Mechanical Engineering, Biomedical Engineering, or a related discipline. Postgraduates must have earned
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(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired
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our research. This is an excellent opportunity to develop skills in silicon photonics and prototyping. This position is open until filled. This position is open to applicants with a PhD. To contact Drs
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. Application deadlines vary by opportunity. PhD candidates interested in a collaborative thesis project may be eligible for DOE's Office of Science Graduate Student Research Program . Duration: Appointment