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approaches used in the molecular life sciences practical experience with research computing tools and languages (e.g. Python, R, shell scripting) proven ability to develop reusable training resources
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. Matlab, Maple and/or Mathematica), and or statistical programming languages (e.g. R, Python), and/or online learning support systems (e.g. Canvas, EdStem and Webwork) Work Rights You must have unrestricted
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equivalent) Strong programming experience (C++, Python, Bash, Matlab; min. 3 years) Experience with Linux systems and/or Robot Operating System (ROS) Knowledge of object-oriented design, multithreaded
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-disciplinary team in advancing applied research in 3D deep learning and forest science programming experience in Python and experience using deep learning tools such as PyTorch, Keras and/or Tensorflow ability
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experiments motion control and data acquisition machine Learning coding using Python writing using Latex. Sponsorship / work rights for Australia Visa Sponsorship is available Pre-employment checks Your
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic modelling techniques experience with energy modelling tools (knowledge of Plexos is
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) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a
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or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging project governance, systems thinking, and intelligent control