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Field
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. Work description You are expected to explore both software architecture and software design in the era of artificial intelligence, addressing both how AI can support engineering practices (AI4SE) and how
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ideal for a researcher who possesses working fluency across both computational AI architectures and physical lab automation. We are seeking someone with an eagerness to master missing domains and a strong
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software, and heterogeneous execution environments. Explore and analyze different quantum computing modalities and architectures and investigate their integration with HPC systems. Use representative
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Postdoctoral Research Associate to support the work of Prof Fabrizio Nevola. Digital Humanities 3D Developer with expertise in 3D modelling (particularly in Blender, and a familiarity with H-BIM), photogrammetry
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, linear mixed models, or deep learning architectures). A solid theoretical background in literacy development, child language acquisition, or psycholinguistics. A record of academic publishing and high
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. Preferred Experience with GWAS, biobanks, or population-scale genetics. Experience with single-cell, spatial transcriptomics, or functional genomics. Experience developing research software for large-scale
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. The successful applicant is expected to have expertise in atomistic or micromagnetic simulation methods. Experience in both software development and the application of these methods is important and will be taken
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to exploit the upgraded tracking detectors, as well as ensuring all code used is efficient on the changing computing architectures available. The post will also support the upgrade software for the high level
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methods and appropriate statistical software. While no one specific programing language is preferred, the ability to do advanced data cleaning and statistical analyses is required. Interpret and summarize
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation