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Field
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team. Work towards achieving the Objectives will run in parallel through the project, broadly along the following timeline: Year 1: literature review, desk-based mapping, initial fieldwork mapping and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
Science: data mining and statistical analysis, data storage and management, cloud storage and distributed computing, data engineering, data warehousing, data modeling and visualization, data analytics
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distributed-memory parallel applications. Experience with containers (Docker, Podman, Shifter or similar) and modern software practices such as Git, unit testing, CI/CD, and collaborative development
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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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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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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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the responsibility for architecting, designing, and developing software application using web technologies, distributed computation and storage frameworks, data collection nodes, and sophisticated
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Application Deadline 4 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Research Framework Programme? Not funded by a EU programme Reference Number COMPETE2030-FEDER-00858000 Is the Job related to staff position within a Research Infrastructure? No Offer Description NOTICE
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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