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Basic knowledge of Linux, Python, or C++ Department Preferences: Preferred major within Atmospheric & Geographic Science or related field, such as Computer Science, Engineering, or Physics Scripting
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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related to development environments such as Python and PyTorch, as well as existing libraries for predictive maintenance. The research will also extend to digital vision systems that may be used to broaden
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Minimum Qualifications Undergraduate student who wants to learn about data preprocessing and machine learning tasks Strong attention to detail and basic experience with Python or R are preferred Bowling
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expertise in numerical modelling. The post is available from 1st March 2026 for 12 months in the first instance and could be extended further. See http://rccs.hw.ac.uk/ for more details. Key duties and
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. Good programming skills (Python and C/C++ preferred). Proficiency in English and excellent communication skills and teamwork. Work Plan: The selected candidate will join the Intelligent Systems Group and
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568 ). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite
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foundational and advanced Artificial Intelligence topics such as Python programming, data analysis, machine learning, artificial intelligence tools and frameworks, neural networks, and ethical considerations in