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software (Prism, Origin Pro, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to
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(e.g., R, Python, SAS, MATLAB). A commitment to high-quality curriculum development, course coordination, and inclusive, student-focused learning. A developing research profile with potential
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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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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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mathematics or computer science Must have programming skills in programming languages such as Matlab and Python Preferably have a proven track record of good publications in mathematics or computer science
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in an applied engineering environment. Desired skills Excellent mathematical and programming skills, including experience creating effective code in Python, R and Matlab. Knowledge of chemistry and
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MATLAB is required. Also, a strong knowledge of Bayesian statistics and the design of experiments are required. In this sense, the selection committee will be looking for at least one Bayesian analysis
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a member of a broader team, including with industrial partners Programming experience and expertise in Python and/or Matlab and/or C++. The candidate will be working on Signal Processing/Control Path