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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required
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maintaining research materials, including computerised experimental tasks, analysis pipelines and MATLAB scripts. Conducting and supporting complex behavioural and neuroimaging research activities, including
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, Julia, MATLAB, Mathematica, Qiskit, PennyLane or equivalent platforms. Experience mentoring or co-supervising research students and contributing to collaborative grant-funded projects. Please Note
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. Analytical and Computational Skills: Demonstrated ability to analyse complex suspension flows, with proficiency in scientific programming (Python or MATLAB) being highly valued. Research Excellence: A strong
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communications engineering, including the software involved in, i.e. MATLAB / Simulink, C/C++, LTSpice, Arduino etc. significant and relevant experience in managing/supporting/developing practical classes, along
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-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages (e.g. Python, R) is also valued; familiarity with international
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-quality project outcomes in a timely manner. Computer programming experience, preferably with Julia and/or Matlab. An understanding of and commitment to UNSW’s aims, objectives and values in action