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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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-on proficiency in using pharmacometrics tools including but not limited to NONMEM, R and Phoenix. Understanding of pharmacometric principles and incorporation of M&S strategies. Ability to develop and deliver
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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in R. The post is fixed term for 2 years and full-time 35 hours per week, 1.0 FTE. The post is funded primarily through two UKRI grants, and one Bill and Melinda Gates grant. The salary will be
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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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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you
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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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). 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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performance relative to opportunities when assessing suitability for the role. Applications close Sunday 31 August 2025 at 11.00pm AEST (R-52404).
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of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, MySQL, Jupyter Notebooks) Excellent verbal and written communication skills including the ability to communicate