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Field
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operations. Knowledge and understanding of BIND DNS, Linux systems and automation tools (Ansible, Python) would be an advantage. About Monash University At Monash , work feels different. There’s a sense of
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. Responsibilities* Write production-quality code in Python + Django and TypeScript and Vue3 Work alongside platform developers to improve the efficiency of existing platform features Collaborate with product and
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Skills Ability to design and implement a rigorous experimental scientific protocol Solid foundation in Python programming and an understanding of AI architectures based on LLMs and VLMs Knowledge of visual
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undergraduate and graduate research students Strong background in laboratory experiment or numerical computation Familiar with Matlab, C++, Python, Java, or other programming language Proficient in one
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, such as cloning, RNA isolation, and PCR or qPCR. Exposure to fluorescence-based measurements, such as flow cytometry or microscopy. Wet lab experience. Basic data analysis skills using Python, R
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of experience working as a test/software engineer, or equivalent experience Comfortable writing code and building automated test frameworks (preferred languages: C#, Python, C, Rust) Knowledge of IEC 62304
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team. Safety-focused, with the ability to produce software that provides safe, reliable, and correct operation. Proficiency in developing software using C/C++, Python, MATLAB, or similar programming
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communication skills Proficiency in Python programming language and machine learning. Ability to work independently and develop solutions under strict timelines. We regret to inform you that only shortlisted candidates
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such as Python, C++, and MATLAB, scientific computing libraries, geospatial/HDF5 data formats, APIs, containerized environments, automated testing frameworks, and version-controlled collaborative
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analysis tools such as Excel, Python, R, or similar; or familiarity with project management software (e.g., Asana, Trello, Microsoft Project). This is a one-year appointment with the possibility