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for improving the quality and visibility of images affected by atmospheric haze. The student will gain hands-on experience applying linear algebra, image processing, and Python programming to a research problem
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programming experience in C/C++ and Python. Ability to work independently and document research progress. Desired Qualifications Experience with STM32 microcontrollers and STM32CubeIDE. Familiarity with
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meetings with the PI to discuss study progress Perform other duties as assigned Required Qualifications Computer competency including proficiency in Microsoft Word, Excel, and Powerpoint, R. Python Strong
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analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records. Assist faculty and graduate researchers with statistical modeling
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Experience with related Virtual Production tools and technologies, including Disguise, Mo-Sys, Zero Density, Perforce, Unreal Engine, Unity, Python, Physics Based Rendering (PBR) materials, and other related
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analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records. Assist faculty and graduate researchers with statistical modeling
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qualifications include strong programming skills (Python required). Experience with AI/LLM APIs, conversational systems, or web development frameworks (e.g., React, Next.js, or similar) is preferred. Familiarity
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and analysis (e.g., MATLAB, Python, LabVIEW). Desired Qualifications Prior experience with SPDC-based entangled photon sources. Experience in vacuum systems, optomechanics, or ultrafast laser systems