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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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scripting and programming languages, including Bash, PowerShell, and Python. Excellent interpersonal and communication skills, with a proven ability to build and maintain effective and collaborative
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using programming languages such as R, bash, and Python is highly desirable. The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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for diverse audiences. Have proficiency in computer programming, particularly using Fortran or Python. Show strong project management skills and the ability to work effectively in interdisciplinary teams
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developing supply chain solutions using Python, optimisation libraries (e.g., CPLEX, Gurobi), and/or machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). To be successful for Level C, you’ll
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researching and implementing secure, AI-driven information systems and data analytics solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI
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(both relational and NoSQL) such as Postgres, MySQL, Oracle, and DynamoDB. Familiarity with frontend JavaScript frameworks (e.g., React, Angular, Vue) and exposure to other languages such as Python and
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis