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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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other services for foreign scholars is available from the CZU Welcome Centre (https://www.czu.cz/en/r-9190-internationa1-relations/r-18688-welcome-centre-for-international-scholars ). Recruitment and
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/biostatistics (or quantitative discipline) Knowledge and experience of various statistical packages such as R, Stata, Python Ability to adapt statistical methodology to specific research studies Demonstrates
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
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suitability for the role. Applications close 12 August 2025 at 11.00pm AEST (R-53894). Please note that interviews have been tentatively scheduled for late August. #LI-DNI
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). The salary for this post is £40,497 to £48,149 per annum. Your skills and attributes for success: The ability to use mainstream data science programming languages (such as R and Python) for data extraction
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
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at 11.00pm AEST (R-54223). Please note that interviews have been tentatively scheduled for late August.