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Field
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or machine learning to large-scale biomedical datasets, along with strong programming ability in Python and/or R, is essential, as are excellent communication and collaborative skills. This is a full time
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to cloud infrastructure in Docker containers. Our technology stack is published in our Guidebook and comprises technologies like Google Cloud, Terraform, Docker, Python, Django, React, and TypeScript. We
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relevant discipline Experience in fish welfare and behaviour Experience in image or video analysis, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing
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with practical experience relevant to the role. You will have experience with Python and applied machine learning, particularly in relation to anomaly detection, behavioural analysis or time-series data. Practical
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using codes in high level programming language such as python. Knowledge of earthquake source seismology observation/theory/modelling. Use of probability/decision trees and predictive models. Use of AI
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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closely related quantitative discipline. • Strong programming skills with demonstrated proficiency in R and/or Python for large-scale data analysis. • Experience analysing large-scale
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. About you You are required to hold a Master’s degree or equivalent in development economics or economics with a development focus or equivalent as well as being proficient in Python for large-scale record
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Intelligence, Data Science, Electronic Engineering or a closely related discipline. You will have practical experience of Python for machine learning or data analysis, including experience of implementing
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and conducting laboratory experiments Essential Application Experience analysing experimental data using scientific programming tools (e.g. MATLAB, Python, or similar). Essential Application Track