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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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-robot interaction. Technical Skills - Programming in C++ and/or Python. - Proficiency in ROS/ROS 2 or equivalent robotics middleware. - Experience with simulation environments (Gazebo, Unity, or similar
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will bring: Qualifications and experience aligned with HEWL 6. Demonstrated experience working with environmental or ecological data, including data wrangling, analysis and visualisation (Python, R, GIS
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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Python expertise HE0 8: $126,065 - $142,171 plus 17% Superannuation About the opportunity We are looking for an Analytics Specialist to step into a pivotal role at the forefront of advanced analytics and
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) or a closely related field. Technical proficiency: You must have relevant experience in high-level programming (e.g. Python) and an understanding of large language model (LLM) architectures and training
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Python-based ML frameworks to advance the platform from alpha to a validated beta prototype. Working within the JCU research environment and alongside industry partners (HCPSL, BPS, and SRA), the role
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or more relevant platforms or technologies, such as: Copilot Studio o Power Automate / Power Apps, Power BI and semantic data models, Dataverse or relational databases, APIs, REST/JSON integrations Python
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 18 hours ago
maintaining application components Proficiency in one or more programming languages (e.g. Java, Python) and working with shared codebases Sound understanding of software development practices, including version