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Field
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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across data, cloud, and business intelligence engineering. Advanced proficiency in SQL, Python/PySpark, and database schema development, with experience managing structured and unstructured big data
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in Python or R; demonstrated experience in preparing or contributing to competitive grant applications; strong quantitative research skills, including data analysis and interpretation of IEQ
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling techniques to model the ecology of wildlife
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analysis language, eg. R or python, proven experience with core analytical methodologies, such as reference-based mapping and phylogeographic and/or statistical methods demonstrated ability to organise and
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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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programming skills (e.g., Python, Ruby, PowerShell). A good working knowledge of Artificial Intelligence (AI) principles. Including LLMs and the use of AI Agents Experience working with GIS systems and
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at least one relevant language or environment, such as Python, MATLAB, Julia or similar. Strong written and verbal communication skills, including the ability to publish research outcomes and engage