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such as for example Superconducting Quantum Interferometers and Cavity Magnonics Interferometers. Ability to maintain and develop tools for more advanced experiments by using Python, MATLAB, COMSOL and
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
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materials. Evidence of publications in high-quality peer-reviewed journals and presentations at major conferences. Proficiency in data analysis and relevant tools (e.g. Python, MATLAB, WSxM, Gwyddion). Strong
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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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ability, including proficiency in C++/ Fortran, Linux, bash, git, Python / Matlab and NetCDF and experience working with high-performance computing environments and github. Demonstrated high level
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
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skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB
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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