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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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interdisciplinary collaboration, have a demonstrated knowledge of Midwestern agroecosystems, and have direct experience collecting, managing, and analyzing field data using R, Python, or similar tools, as
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include building an ETL pipeline for ENCODE genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from
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to write automation scripts (e.g. Bash, Python, Ansible etc.) Experience in private and public cloud environments (e.g., vCenter, OpenStack, AWS etc.) CCNA (Routing and Switching) or equivalent certification
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reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD and contribute to applied AI
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. On the frontend, we use Preact with TypeScript, along with an OpenGL renderer written in C++. On the backend, a server written in Python is used to handle tasks related to serving data, metadata, and authentication
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, Math, or Business Analytics preferred 2 years of Python experience preferred Job Summary Evaluates business requirements and performs complex data integration and analysis utilizing highly advanced
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offers C, Fortran, and Python API. PDI offers a reference system similar to Python or C++'s shared_ptr with locking to ensure coherent access by coupled modules. It provides a global namespace (the data
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extraction, qPCR, or library prep experience • Basic scripting in R or Python, or willingness to learn • Prior experience in immunology or reproductive biology • CRISPR/CAS9 gene editing • Strong attention
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. Develop and maintain scripts and macros (e.g., in Python, VBA, or similar) to streamline reporting and data manipulation tasks. 3. Process Streamlining and Productivity Projects Collaborate with colleagues