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Field
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resources, including utilizing job schedulers, parallel programming, and managing large data sets on high-performance file systems. Proficiency in one or more modern programming languages commonly
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resources, including utilizing job schedulers, parallel programming, and managing large data sets on high-performance file systems. Proficiency in one or more modern programming languages commonly
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electromagnetics-related field with a solid background in computational electromagnetics and a good understanding of the physics of scattering and antenna radiation. Programming experience in C/C++ is
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within high-performance computing (HPC) environments. In parallel, the postholder will undertake the bioinformatic analysis of NGS datasets, generating the data and insights required to inform and
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, Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink, Python
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optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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experience in nuclear, mechanical, or chemical engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming
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benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand
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learning techniques. Adapt computational pipelines for efficient execution on a high-performance computing (HPC) environment, including workflow automation and parallel computing. Apply these computational
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parallel applications, tools and data analysis software stack. • Maintain scientific, technical and professional currency through collaboration, practice, training, conferences, independent learning, and