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Field
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modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
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radiographs, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid dental students, residents and/or faculty in four-handed dentistry and in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
statistical analysis, data storage and management, cloud storage and distributed computing, data engineering, data warehousing, data modelling and visualization, data analytics, database management and
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pathology cases. Correct errors found while accessioning cases through communication with internal and external personnel. Staining slides during intraoperative consultation. Distributing appropriate specimen
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of the broader SKA-Low Computing and Software group, which delivers advanced computing and technology solutions for the SKA Project. This group works on integrated control systems, high-performance
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plant online and in parallel with PG&E. Monitors and controls load changes on the campus critical feeder and high voltage distribution system. Assists campus electricians and mechanics in instances
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detection model to a more flexible unequal-variance model in a hierarchical Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques
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: The Software Systems Engineer will have the responsibility for architecting, designing, and developing software application using web technologies, distributed computation and storage frameworks, data collection
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, and tools used to program, profile, and debug parallel scientific applications and workflows, such as MPI, OpenMP, CUDA, C++, Rust, Python, or Fortran. Knowledge of the Linux environment. Excellent
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. Demonstrated experience performing research and technical work supporting DoD customers, including but not limited to AFRL 4. Research involving parallel distributed autonomy applications 5. Experience with