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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science: Technology Development Advisors: Ryan Rogalin Ryan.Rogalin
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custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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Research Infrastructure? No Offer Description Project responsibilities like: Develop and refine deep learning architectures for climate downscaling. Integrate multi-source satellite data and geophysical
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machine translation relying on state-of-the-art deep neural models and architectures (LLMs). The work is to be carried out in the context of the Horizon Europe project IDEAL (Inclusive Democratic Engagement
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quantum communication protocols, designing quantum network architectures, and building SDN-enabled orchestration software to integrate classical and quantum networks. The candidate is also expected
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-source modeling and verification environment based on UML/SysML. This software is used to quickly explore the design space and test different architectural solutions. Finally, LabSoC collaborates with
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for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings—are especially encouraged to apply
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working in interdisciplinary teams Clear record of communicating original results in writing and presentations Desired Qualifications: Knowledge of GPU architecture and experience programming GPUs
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» OtherEducation LevelPhD or equivalent Skills/Qualifications A doctoral degree (level 10 NFQ) in AI or a closely related field. High level knowledge of Agentic LLM architecture. At least two publications in a high