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Field
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reasoning and robotics C/C++ programming and knowledge Python programming
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scientific programming languages (e.g. Python, R) is also valued; familiarity with international macroeconomic and trade data sources, such as UN Comtrade, UN Official Country National Accounts, or comparable
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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iterate solutions Evidence of intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo Strong communication and interpersonal skills (oral, written and
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Kubernetes. Demonstrated experience with various scripting and programming languages such as Bash and/or Python, and willing to learn new ones. Experience in using, building or administering infrastructure
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tissue Experience with quantitative image analysis tools, multiplex imaging and/or spatial transcriptomics Coding skills (e.g., Python, R) for image or data analysis Please note: This role requires
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experience in one or more of: LiDAR processing forest inventory photogrammetry machine learning computer vision geospatial analysis experience analysing large spatial datasets programming experience in Python
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for mineral processing applications. Experience using JKSimMet, JKSimFloat, IES or similar mineral processing modelling platforms. Proficiency in programming languages such as Python, MATLAB, C++ or VBA
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such as JKSimMet, JKSimFloat, IES, or similar mineral processing software. Programming capability in Python, MATLAB, C++, VBA, or similar languages. Evidence of publication in reputable peer-reviewed
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approaches used in the molecular life sciences practical experience with research computing tools and languages (e.g. Python, R, shell scripting) proven ability to develop reusable training resources