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, Python/PySpark, and Unity Catalog to design and implement Azure data services. Managed automated testing and deployment for data solutions and lakehouse changes by leveraging Azure DevOps and CI/CD tools
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language processing and other data mining methods, to large datasets (ideally urban or city-scale data). Proficiency in computer programming for data analysis, with experience using languages such as Python and R
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deposition and dry etching. Experience characterising superconducting or quantum devices at cryogenic temperatures. Experience developing software for instrument control and data analysis (e.g. Python
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) Assist the Data Analytics Specialist in developing and maintaining data pipelines (utilising Python and SQL) Maintain and optimise web and mobile tagging using Adobe Launch to ensure accurate attribution
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. Programming: Python (PyTorch, spaCy), SQL, shell scripting, and relevant knowledge in Natural Language Processing (NLP), including Transformer architecture and prompting methods. Excellent written and verbal
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widely used in micro-econometrics, and to calibrate macro models. Programming skills in languages such as Fortran, Python, Julia, Matlab, Gauss, etc. Demonstrated ability to conduct independent research
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skills, with demonstrated experience in bioinformatics and/or advanced statistical analyses (e.g. Python/R, Linux environment) Evidence of capacity to problem-solve and troubleshoot independently, with a
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experience Demonstrated expertise and experience in process simulation software (ASPEN/DWSIM, Excel VBA Programming, Excel and Python coding Demonstrated experience in engineering economic analysis including
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‑learning techniques in an applied or production‑like environment, including classification or predictive modelling. Experience working with Python and common data‑science libraries (e.g. pandas, scikit‑learn
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computational learning activities (e.g., using Python) is desirable. Demonstrated experience in teaching and learning design, development and delivery at undergraduate and/or postgraduate level; teaching second