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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 6 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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or administrative data, and advanced programming skills in Stata, R and/or Python. We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities
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proficiency in scientific communication, including at least one first-author peer-reviewed publication and oral presentations at scientific meetings Preferred Qualifications: Experience with R, Python
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to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require
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candidates must be within numerical methods for ODEs and PDEs. A solid background in both the following fields is required: Numerical analysis for ODEs and PDEs Scientific programming using Python, MATLAB, C
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C
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simulation; - Programming knowledge in Python; Minimum requirements: Previous academic background in electrical engineering, energy engineering, applied mathematics, computer science/informatics or similar 5
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such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets. Experience developing or applying machine learning, statistical modeling, or artificial
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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C