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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 20 days ago
measurement. - Strong experimental skills and ability to develop, troubleshoot, and validate measurement workflows. - Strong data-analysis skills using Python, MATLAB, R, Origin, or similar tools. - Strong
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Website: https://healthpolicy.fsi.stanford.edu/(link is external) How to Submit Application Materials: Please submit the required application materials to Dr. Goldhaber-Fiebert ([email protected](link
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experiments Demonstrated ability to analyze experimental data (e.g., in Python, MATLAB, or equivalent) KEY RESPONSIBILITIES AND ACCOUNTABILITIES 1. Design, perform, and analyze nanoscale magnetic resonance
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Sciences | Chemistry and Biochemistry Administration A postdoctoral researcher appointment is available in the Carpenter Spectroscopy Group (https://www.carpentergroup.site/ ) in the Department of Chemistry
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
Engineering, or a closely related quantitative field is required. Additional qualifications The candidate must have strong programming experience in Python and/or R. The candidate must have experience analyzing
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visualizations that advance research and science communication. Examples of current and past projects can be found at http://infographics.uoregon.edu/. Research positions are funding contingent, part-time, limited
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relevant programming languages (e.g. Python, MATLAB), experience with MRI data processing, and broad expertise in cognitive neuroscience methods are particularly important. These skills should be
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation
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, climate economics, operations research, or statistics); • Proficiency in at least one scientific programming language (e.g. Julia, Python, etc) required; • Experience with numerical models (preferably