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or coding platforms including SketchUp, EnergyPlus, OpenStudio, TRNSYS, and Python; Proven ability to work at a fast pace and to react rapidly to new information; F1 experience would be advantageous but not
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will have proven analytical problem-solving skills, experience in programming (Python, C++, or MATLAB), and evidence of contributions to peer-reviewed publications or technical outputs. Experience in
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the development of data-driven insights and scholarly publications Position Requirements: Technical Proficiency: Strong command of Python or R for data manipulation (e.g., Pandas, Tidyverse) and SQL for database
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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data
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systems (Mojo, Julia, Rust, Python), and HPC system co‑design. This position is embedded within the larger DOE ASCR ecosystem, with direct relevance to ongoing efforts, and related AI‑for‑HPC thrusts
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modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
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change You will work on the design, simulation, and testing of digital control concepts (e.g., using MATLAB/Simulink or Python) You will implement these on FPGA boards and evaluate them in terms
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on cochlear nucleus and brainstem circuits using Neuropixels electrophysiology and two-photon imaging. Develop and apply custom computational pipelines (e.g., Python/MATLAB) to analyze large-scale neural
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in chemistry, physics, or related field. At least 2 years of experience developing quantum Monte Carlo algorithms. Strong problem-solving and analytical skills. Python programming experience. GPU
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and provide programming support for ongoing research projects. In this role, you will assist with coding and data analysis using Python, R, and other software tools as needed. Responsibilities include