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Field
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related literature and software Good written and oral communication skills Entry level candidates are welcome to apply EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity
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, engineers, and researchers focused on developing medical clinical decision support systems utilizing extended reality technology. You will participate in various projects utilizing software engineering
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/or know-how using the Quantinuum quantum software stack A strong record of research productivity evidenced by first-author publications in reputable, peer-reviewed journals. Able to work both as an
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. Laboratory experience analyzing coastal sediments and interpretation of results. Proficient in statistical analyses and modelling using relevant software (e.g., R, MatLab, Python etc.). Skilled in Microsoft
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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related field, have a strong record of research productivity (e.g., publications and software) in mass spectrometry-based proteomics, and possess substantial experience developing algorithms and pipelines
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qualitative datasets and analysing data using software such as NVivo or equivalent. You should have experience working with research participants, including recruitment and consent procedures, and knowledge
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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in synthesis, materials characterisation, electrochemistry, photoreactions Competent in Microsoft Office suite, Origin and software for processing scientific data Ability to work independently Able
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developing bespoke electromagnetic simulation software and/or using commercial software including COMSOL Multiphysics and Ansys Lumerical using high-performance computing resources. Experience with machine