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Field
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deploy the developed controllers within a test facility for remote maintenance located close to Odense. The candidates will contribute to developing and implementing the control system for a remote
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
these architectures through simulation (e.g. ns-3) and hardware test platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science
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simulation tasks. A key objective will be the development and testing of algorithms for gas hydrate phase equilibrium calculations. CapSim seeks to advance CO₂ capture simulation technology by enhancing
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-modal data. This role offers high independence, rapid idea testing, and close collaboration with an interdisciplinary team. If you are excited about tackling problems in complex networks, causal inference
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Engineering Center (PSEC) at NREL, a highly interdisciplinary and collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling
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by running neurophysiology experiments, analyzing data, developing and testing computational models, and writing papers and such other tasks that are assigned to you. Core Responsibilities: Set up and
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. Oversee enumerator training, pre-testing, and quality assurance protocols. Code survey into appropriate software (e.g., SurveyCTO, RedCap). Conduct field monitoring and troubleshoot real-time data
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
. However, these models use heuristic constitutive equations that require phenomenological parameterisations based on conventional laboratory tests, not accounting for the rich measurement data that can be
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candidate is expected to contribute to upgrades to the CMS EMU front-end board testing and commissioning, as well as analysis efforts using ML-based jet identification techniques to search for hadronic final