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highly desirable. Strong computer programming experience, preferably with Matlab, C++, or Python. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships
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CV to akram.hourani@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability
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CV to akram.hourani@rmit.edu.au Please email your CV to akram.hourani@rmit.edu.au Required skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability
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packages such as OpenCV, as well as machine learning libraries and packages such as PyTorch,TensorFlow and Caffe. Programming experience in Python or MATLAB. Sound knowledge of systems and software
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, such as Python and MATLAB (by MathWorks), for data analysis, simulation, and automation tasks. The successful candidate may be required to complete a number of pre-employment checks, including: right
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of the following areas: machine learning, energy system modelling and simulation, or digital twin systems. Proficiency in programming languages (e.g., Python, MATLAB, or similar) and experience with
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processing particularly for multi-modal (hyperspectral, RGB, LiDAR) and high-dimensional data. Experience in programming languages relevant to technical applications, e.g. Python, Matlab, - R and corresponding
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: Conduct research on bubble-particle interactions in flotation across molecular to industrial scales using advanced modelling tools like CFD, Matlab, and experimental techniques such as AFM and XCT
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storage area. It is preferred that the candidate has technical proficiency in one or more of the following areas: Simulation and modelling of electrical equipment/systems (using software like PSCAD, MATLAB
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, statistics or mathematics. Demonstrated proficiency in at least one analytics scripting language (such as R, Python, Julia, MATLAB). Demonstrated ability to write packages/modules and distribute via CRAN/PyPI