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reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic
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multiple sclerosis research while developing your expertise in MRI analysis, Python-based data pipelines, and clinical research coordination Base Salary $89,755 - $100,495 (pro-rata) + 17% superannuation
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interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software analyse electrochemical
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applications using C/C++ and Python develop real-time applications in RTOS and embedded Linux environments undertake testing, debugging, validation and integration of software solutions with hardware and
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Applicants who demonstrate the following desirable criteria will be highly regarded: experience in analysing large-scale omics datasets in R or python strong general IT skills, including familiarity with
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experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the successful completion
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data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background
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machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection for machine learning, wireless
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, biostatistics, data science, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale
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spatial technologies, multiplex immunofluorescence and immunohistochemistry techniques strong data analysis skills with experience using R; experience with Python will be highly regarded experience using