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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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beacon detection plugin using Go, Rust, Java, Python, and/or C++ Leverages stream processing engines like Apache Flink or Arroyo Writes efficient, maintainable, and well-documented code Collaborates with
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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platforms (Arch Linux), python, Structured Query Language (SQL), and R programming language Experience setting up Wi-Fi stations and routers Familiarity with web-based access to router IPs like NETGEAR
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environments such as R, Java, Python, C++; Ability to communicate statistical concepts and data analysis interpretations to the group; Experience in genetic analysis of environmental exposure risk factors
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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
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Knowledge of simulation medical high-fidelity simulators and systems (e.g., Laerdal and Gaumard) General knowledge of servers, databases, and web applications (e.g., Microsoft 0365, Python, HTML, and
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skills: · Experience with Python · Experience with high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work
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constituents Preferred Python/Linux bash scripting skills Proficiency with Unix-based systems Large language model benchmarking and analysis experience Experience integrating LLMs into open-source inference
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Knowledge of simulation medical high-fidelity simulators and systems (e.g., Laerdal and Gaumard) General knowledge of servers, databases, and web applications (e.g., Microsoft 0365, Python, HTML, and