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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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of occurrence rate measurements. This also entails participation in relevant facets of the group’s research endeavors ranging from data analysis, software development, publication preparation, grant proposal
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. There will be potential opportunities for methodological and/or software development, as well as the integration of machine learning into the project, depending on the candidate's interests. This position is
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using UCINET software or coding in R. Writing and Presentation Development Synthesizing data from multiple sources to communicate findings via written, visual (i.e. sociograms), and multimedia displays
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collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
with process modeling software such as Aspen Plus and LCA software such as GREET. Job #25051 The position will be located on the MIT campus in Cambridge, MA. This is a one-year position with
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: Experience with process modeling software such as Aspen Plus and LCA software such as GREET. The position will be located on the MIT campus in Cambridge, MA. This is a one-year position with the possibility
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evaluation methods, discrete choice experiments, systematic reviews, and meta-analysis, with high levels of proficiency in associated software (e.g., Stata, R, Ngene). Applicants should have knowledge
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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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MRI systems or multi-shell diffusion modeling, and hands-on experience with neuroimaging software such as FSL, ANTs, SPM, or AFNI, will also be considered advantageous. A demonstrated interest in