22 parallel-programming "SciLifeLab " "SciLifeLab " Fellowship positions in Australia
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artificial intelligence can support the development and use of computer algebra systems, including mathematical programming, software verification and testing, documentation, and new ways for researchers to
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mathematical programming, software verification and testing, documentation, and new ways for researchers to interact with computational mathematics software compile data sets relevant to research in
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systems, including mathematical programming, software verification and testing, documentation, and new ways for researchers to interact with computational mathematics software compile data sets
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management, including working with high-dimensional, multi-country or time-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages
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computing Strong programming and data-analysis capability, preferably including Python and C/C++ A record of high-quality research outputs commensurate with opportunity and demonstrated ability to
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s) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets; sound programming skills, with a
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diffraction and advanced diffraction methods. Density functional theory calculations. Python programming, or a willingness to learn. Higher degree student supervision. Strong initiative, resourcefulness and
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Python, R, or similar programming languages in a research environment. Experience working with melanoma, skin cancer or medical imaging research, including the analysis and management of 2D and 3D
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and spatial omics technologies, including transcriptomics, metabolomics, or multi-omics data integration. Proficiency in programming languages and analytical tools such as R, Python, and machine
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, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming