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Field
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quantum many-body physics and quantum information in chemistry-related applications. The successful candidate will work on new experimental approaches and hardware implementations for ultracold molecular
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 days ago
materials from the spaceflight hardware that could confound in situ analysis. The goal of the research is to develop methodologies and a library that will inform organic molecule detection and interpretation
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neuronal basis of Working Memory is a large plus, • Scientific hardware capability will be considered a plus – troubleshooting during recording sessions, • Interpersonal skills for patient interaction
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optics, optical microscopy or imaging Prior experience integrating hardware and software Fluency in mathematic concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python
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guidance and technical support to laboratory team members and mentor students. Contribute to the development and preparation of grant proposals. Maintain laboratory software and hardware resources while
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robust acquisition, synchronization, calibration and quality-control procedures across multimodal data streams. Troubleshooting software, hardware, sensors, timing, synchronization, data acquisition and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
(health insurance, paid leave, restaurant subsidy, etc.). Access to Inria’s computing infrastructure and to the ĀnandaBot project’s dedicated hardware (GPU servers, robot platforms). Integration in a well
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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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matter or neutrino physics experiments. Knowledge of hardware integration and real-time control systems. Familiarity with high-performance computing and parallel processing techniques. Proven track-record
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accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to integrate