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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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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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engineering ability (e.g., OCaml, Rust, C/C++, Python, or other functional languages) Strong publication record (relative to your career stage) in internationally leading venues (e.g., POPL, PLDI, ICFP, OOPSLA
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prototypes. Python is essential, and Houdini’s VEX is also relevant to the project. Experience with other suitable languages will also be beneficial. Candidates should have an interest in working across
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(fluid dynamics) is highly beneficial Experience with statistical analysis, coding (R or Python), and digital modelling strongly preferred Willingness to travel (minimum to UK for experimental work
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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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conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in python and deep learning libraries (pytorch) Proficiency in git, Docker, python, and SQL Experience in