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Computer Science or Statistics or closely related degree AND experience in Big Data Analytics or Data Science with proficiency in Python. Minimum: Bachelor in Statistics or closely related degree AND 5 or more years
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.). Fluency in programming languages such as Python, R, Matlab, Perl; MySQL. Experience working with UNIX/Linux environment. Experience in nucleic acid isolation and sequencing library preparation. Familiarity
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solutions based on OFN business use cases, including AI/ML models, Python scripts, BI dashboards, and RPA workflows. Lead end-to-end machine learning development, from data extraction and transformation
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pipelines for models using the necessary programming languages (primarily R, Python, SQL). • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices
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Proficiency in programming languages (Python, R, or bash) Ability to work collaboratively in a fast-paced environment. The College of Science seeks a diverse and inclusive workforce and is committed to equality
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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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animal models. They will lead the modification of existing bioinformatic approaches and develop new tools for data analysis. The individual should be familiar with R or Python-based tools to analyze
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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; Domain knowledge in ATM is highly advantageous. Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences. Proficiency in programming (Python, C++, MATLAB
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) and Trusted Research Environments (TREs), SQL and Python. You will be based within the Faculty of Health and Life Sciences reporting to the CHIL Programme Manager and will work alongside a muti