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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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pertains to nuclear fuel cycle. Demonstrated experience in Python, MATLAB, R, or similar. Demonstrated experience with applying techniques to introduce uncertainty quantification to machine learning
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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, MATLAB, or Julia is essential. The ideal candidate will have a demonstrable track record of intellectual curiosity, scientific integrity, excellent interpersonal skills, and future leadership potential
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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-on experience with hardware prototyping, electronics, embedded systems, or IoT devices. Proficiency in data analysis and modeling using tools such as Python, R, or MATLAB Preferred Education/Experience Background
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL) Willingness to learn and quickly adjust to new tools and systems
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. Processing and analysing imaging datasets using custom scripts in MATLAB and/or Python. Integrating imaging with complementary techniques, such as electrophysiology, optogenetic stimulation, or behavioural