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owner of CCCSE’s Python/Django application platform, which is under active development as part of a broader modernization effort, and leads the connected applications, databases, survey-technology, and
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or more of the following areas: natural language processing, multimodal learning, large language models, knowledge graphs, graph learning or data mining; (c) be proficient in Python and deep learning
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environments Data management and visualization using modern programming languages (e.g., Python) Processing complex data to produce easily understandable results Interpret and publish results in progress reports
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, CellProfiler, QuPath, Napari, Python or MATLAB. — Ability to interpret biological results and collaborate with researchers from different fields. — Good command of scientific English, both spoken and written
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focuses on the full lifecycle of AI application development: writing production-quality code in Python and Go, building and optimising AI agents, developing rigorous evaluation and testing frameworks
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skills such as Python and Django. • Security compliance experience such as NIST 800-171, CMMC L2, and FAR to protect data such as HIPAA, CUI, Export Controlled, etc. • Progressively responsible
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++, Python) supporting hardware test, automation, and data collection Perform hands-on assembly, wiring, configuration, and bench-level testing of hardware/software systems Support system integration, test
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multiple analytic tools (e.g., SAS, R, Python, SPSS) and developing reusable, well-documented code. Strong data science and management skills, including preparing analysis-ready datasets, implementing
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is preferred. • Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell. • Ability to construct and write papers for leading research journals and conferences
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genetics is essential. You must be able to demonstrate expertise in statistical design and analysis. It is expected that you will be skilled in one or more programming languages (R, python, MATLAB) and