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of mechanical, electrical, and software components Experience in testing and validation as well as troubleshooting and maintenance of robotic systems Experience of working in robotics with C/C++ or Python ROS 1
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development Experience of working with C/C++ or Python ROS 1 or 2 or similar middleware Fluency with Linux, Git, containerisation (Docker) and CI/CD (GitHub/GitHub Actions) Strong background in software
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Experience with a high-level programming language (e.g. Python, Julia) Experience using and processing a variety of hydrological and environmental data sources, including large spatiotemporal datasets
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bioinformatics or a related biological sciences discipline with substantial programming experience, especially in R or Python, and a robust background in cancer immunology, spatial-omics, and ex-vivo techniques
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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of challenges of building large-scale systems. Programming skills in Python. A good Bachelor’s Hons degree (2.1 or above or international equivalent) and/or Master’s degree in a relevant subject (physics
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of quantum computing and an understanding of challenges of building large-scale systems. Programming skills in Python. A good Bachelor’s Hons degree (2.1 or above or international equivalent) and/or Master’s
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-scale astronomical facilities or surveys and with the use of database and web-based systems. Knowledge of Python/Java and object-oriented programming is required, while knowledge of database systems would
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models