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engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns. Semantic modelling and business
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(40% of the social sector). Information This is a four-month position. The Data analyst will contribute to training existing econometric models in R and Python and running scenarios, as
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knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development. Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments
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), migrations, caching layers (Redis, Memcached), and NoSQL document stores. Full-stack development across server and client platforms, including Python, TypeScript/JavaScript, REST API design, WebSockets
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other criteria met). Strong programming skills in Python or equivalent, with specific expertise in scientific computing and numerical optimization libraries. Experience processing and interpreting
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instrumentation. Experience with Python, model/API integration, retrieval-augmented generation, tool-using agents, scientific databases, and automated experimental platforms is highly desirable. The candidate is
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scientific open source projects in the Jupyter ecosystem, as well as those of the computational tools used by our researchers today, including Scientific Python, R and beyond. They create, improve, and
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related AI/ML structure-prediction approaches. Experience with Python, BASH, and high-performance computing systems. Experience with data science and working with large experimental and computational
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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/Python, Go, SQL, Javascript, HTML and CSS. Focus will be on developing and integrating enterprise web applications for CHPC staff and end-user researchers, with opportunities to work and train in a variety