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Field
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an immediate opening for a full-time (40 hours per week) graduate engineering intern with experience in python and process systems modeling and optimization of flexibly operated water treatment systems. This is
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and interpret complex datasets using programming languages such as Python or R, extracting key parameters from multi-omics and imaging experiments. Contribute to scientific writing, including
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-resolution imaging, hyperspectral imaging, and single-molecule tracking. The ideal candidate has experience designing and implementing optics hardware (ideally microscopes), is fluent in Python and/or LabView
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. The successful candidate will develop a software interface and integrate it with our existing Python analysis package.Applicants are expected to have a background in successfully developing software
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priorities and manage multiple tasks with competing deadlines, track progress, and communicate task status Work calmly and professionally, especially during those occasional times when the team finds itself in
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teaching at the intersection of finance, macroeconomics, and policy. We seek to hire talented and motivated predoctoral research specialists to assist multiple economics and finance faculty working with
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/software development, demonstrating significant contributions to scientific projects involving advanced image analysis. Demonstrated advanced programming and data-analysis skills in Python, and application
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of heart disease are also desirable. Proficiency in C, C++, MATLAB, and Python programming, as well as experience with MRI physics and pulse sequence programming (preferably on Bruker systems) would be
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, or related fields Preferred Qualifications Master's degree preferred Proficiency in R or Python for data manipulation and analysis. Familiarity with version control (e.g., Git/GitHub) and reproducible research
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of the products. This position is part of the LINCC Frameworks program, https://lsstdiscoveryalliance.org/programs/lincc-frameworks/, which includes multiple institutions: University of Washington, Carnegie Mellon