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programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches
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with programmatic data analysis (e.g., Python/Pandas) and database queries via SQL. Experience using Google Apps Script or similar tools to automate office workflows. Salary Grade: 9 Additional
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data acquisition or experience in programming and modelling (e.g. Python, MATLAB and LabView) or CAD would be an asset. You should have good interpersonal and communication skills and should be able
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 21 hours ago
, commensurate with career stage. Strong mathematical and algorithmic capability, with demonstrated experience applying machine learning to research problems Strong programming skills in Python and/or MATLAB
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of python and R programming. You will also have demonstrable experience of software development using version control (e.g. GitHub or similar) and experience using a High Performance Computing environment
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knowledge in Python or R being desirable Strong interpersonal, organizational, and communication skills Excellent attention to detail and problem-solving skills Ability to effectively work in a team setting
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metabarcoding, metagenomics, isolation and culture. Prior analysis of high-throughput sequencing data and experience with R and Python required. Application materials needed: 1. CV 2. A one-page cover letter that
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programming (e.g. Python, R, JavaScript, Matlab) preferred but not required Compensation The salary for this trainee position is $45,600 per year. Process to Apply Interested applicants should submit
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/AI systems Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python
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/AI systems Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python