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on MATLAB, Python, Julia, Javascript, DigiSilent Power Factory. Possesses a strong academic record, with relevant experience in either industry or academia, and can show experience from paper publishing. Has
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for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge
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cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate
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AI technology and fostering foundational research into new machine learning methods while exploring real-world application in finance and other industries. For CommBank, this research could unlock
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and/or psychiatric disorders. Expertise in statistics and statistical software (e.g., R, Matlab, SPSS). Expertise in neuroimaging software tools (e.g., FSL, FreeSurfer). Applicants who are interested in
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Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in
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or related field. This year’s candidates/candidates who will finish their master’s degree in the summer can also apply. Experience with COMSOL, BATTMO and/or MATLAB or any other simulation software. Knowledge
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written and oral communication skills in English. Proficiency in computational methods, with experience in modeling using Fortran, MATLAB, and/or Python Demonstrated research experience in earthquake
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication