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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
NASA makes way for smaller scale missions, readily available, low SWAP instruments to deliver routine science will become more valuable. JPL requires development and testing of highly miniature control
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platform in the field of testing composite materials for in-situ testing in conditions relevant to the energy sector (high pressure, high temperature, extreme environments). Participate in the generation
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with a strong background in experimental mechanics, composite materials, structural engineering, or a related field. Experience in mechanical testing, experimental characterization, and non-destructive
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: neuroanatomical techniques, in vitro or in vivo electrophysiology, behavioral tests using mice, AAV injection and/or fiber photometry. Department Contact for Questions Questions about the position should be
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seedling monocultures and mixtures under elevated CO2. This experiment provides a platform for testing mechanisms controlling responses of sapling monocultures and mixtures to climate change e.g., altered
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translational research. You will have responsibility for optimising processes required to produce LVNPs at scale including testing strategies for purification and concentration. You will hold (or be in
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particular focus on increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments
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Sciences Location Bloomington Position Summary Position Overview The Postdoctoral Researcher will join an NSF-funded project developing and testing computational models of how decisions evolve over time. The
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quantum memories and highly excited Rydberg atoms enabling deterministic quantum light generation and processing capabilities. The nodes will be tested with photonic integrated lasers and modulators
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contribute to the design, development, testing, and deployment of custom ground-based sensing platforms for efficient and accurate collection of agricultural data. These platforms will support integration