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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
across nearly 30,000 square degrees of sky. This role will work as part of a collaborative and multidisciplinary team to develop software for data analysis, monitoring, and science verification
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, Argus will collect 1014 photometric measurements of 107 stars. This role will work as part of a collaborative and multidisciplinary team to develop software for data analysis, monitoring, and science
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; training staff to deliver interventions; developing and overseeing intervention fidelity monitoring systems; study coordination; data collection, management and analysis; preparation of reports
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, Astronomy, or a closely related field is required. Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage. Additional Information Applications must be submitted
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for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and keratoconus. We have access to large multi-model ophthalmic datasets as
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spacecraft data management; monitoring and control systems, including for pre-launch, and testing procedures; electrical ground support equipment and system checkout equipment. In the context of digital twin
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related to DNA protein interactions monitored using bulk and single molecule techniques. The appointment duration is up to three years, with reappointment contingent upon funding and research collaboration
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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with IoT technologies (smart sensors, connected devices) for real-time monitoring of waste systems. Circular Economy: Familiarity with circular economy principles as applied to waste management
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the foundations for reliable decision support and Monitoring, Reporting, and Verification (MRV) systems for reducing greenhouse gas emissions in Danish agriculture, particularly exploring conditions for the uptake