39 programming "https:" "https:" "https:" "https:" "OSU" Postdoctoral research jobs in Australia
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programming, with experience in AI, machine learning or data-driven materials research highly desirable · a strong publication record, excellent communication skills, and the ability to work
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, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale datasets ability to work
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bioinformatics, data science, computer science, statistics, biomedical engineering or a related field strong programming skills in R or Python experience working with spatial omics data, histopathological
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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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scientific / numerical programming and data analysis excellent collaboration skills, with a proven ability to work effectively in a multidisciplinary team a keen, self-motivated interest in exploring novel
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electrolyser testing. Demonstrated knowledge/experience in some numerical methods such as lattice Boltzmann method, finite difference (element, volume) method, phase-field method. Demonstrated programming
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singular perturbation theory practical experience in numerical computation and scientific programming a strong research record and excellent communication and collaboration skills How to Apply Applicants are
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in Python or equivalent programming tools. experience in experimental design and validating computational predictions against laboratory data research outputs appropriate to career stage and
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programming skills in C/C++, Python, R or comparable languages. Experience with AI-based coding tools such as Claude Code, Codex or Cursor. Evidence of research productivity through publications