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Field
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evaluation will be conducted to assess the performance of these models, identifying their strengths and areas for improvement. Required knowledge Python programming Machine learning background
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arising from finite fields, projective and polar spaces, and related structures. Apply computational methods (e.g. Magma, GAP, SageMath, Python) to test conjectures and explore new mathematical directions
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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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consequential areas strong technical capability in relevant programming languages and analytical tools, such as Python, R, machine-learning frameworks, large language models, or related computational technologies
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oral communication skills in English Applicants who demonstrate the following desirable criteria will be highly regarded: experience in analysing large-scale omics datasets in R or python strong general
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environmental monitoring and evaluation. Experience using water quality monitoring equipment and environmental datasets, or the ability to quickly develop these capabilities. Experience using R and/or Python
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service needs, applying human-centred design approaches to shape intuitive, accessible and scalable digital products, predominantly using Node.js, Svelte, React and supporting Python services where
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including work with the Robot Operating System (ROS), and one or more of C/C++, Python, embedded systems, navigation systems, computer vision systems, web and/or user interface design capacity to maintain and
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skills in Python and experience developing, implementing, and testing computational models or research software. Experience working with large and complex datasets and applying appropriate data management