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behavioral sciences. Experience with digital communication and educational resources, including virtual workshop series, podcast content, and public science communication. Collaborated on content strategy and
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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Florida is inviting a motivated Postdoctoral Associate to join the DISCOVER (Digital-Twin Infrastructure Science for Operations and Visualization in Engineering Resilience) Laboratory and become part of
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
conditions. The successful candidate will work at the intersection of visual perception, digital cartography, and maritime navigation systems, addressing challenges that are becoming increasingly important as
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in health and disease, with extensions to high-content spatial-omics analysis and digital pathology. Functional brain imaging: Application of wide-field optical mapping in awake, behaving mice to study
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relationships via digital manufacturing practices Basic experience with AI/ML techniques Publish research in peer reviewed journals and conferences Support R&D staff members on their projects General support of
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, npj Digital Medicine). Responsibilities Research Conduct independent and collaborative research in artificial intelligence with a focus on health and biomedical applications. Collaborate with PI
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Education: Ph.D. required, in areas of Exercise Physiology, Kinesiology, Digital Health, Lifestyle Medicine, or similar preferred Certification and Licensing: Certified Exercise Physiologist preferred
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, logistics analysis, infrastructure systems analysis, or resilience and disruption modeling. Familiarity with hybrid mechanistic-data-driven modeling, surrogate-assisted optimization, or digital twin methods
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-static and Quasi-static simulations) Discrete electronic design (Analog and digital design using COTS, schematic and layout design, microcontroller programming, PCB prototyping) Experimental data analysis