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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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with significant relevant experience, or an equivalent combination of education and experience. Strong programming skills in backend Python and Java applications, as well as frontend JavaScript
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, with experience in Linux environments and automation tools. Proficient in programming and scripting languages such as Python, Perl, C, Go, and Bash. Strong problem-solving abilities with a proactive
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protocols in dynamic, containerised simulation environments. To be successful you will need: To be eligible or willing and able to become eligible to hold an Australian security clearance. Solid Python
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, social network analysis. Experience developing software prototypes using python, JavaScript/node.js, modern reactive web frameworks, visualisation technologies (e.g. SVG, D3.js). Experience designing
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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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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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@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, optimization, or multi-agent
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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