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to react to the wind before it hits the blades. Using upstream LiDAR measurements (taken several rotor diameters ahead), you will develop a wind field forecasting method, leveraging principles like Taylor’s
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methods. X-ray power diffraction experimental design and quantitative data analysis. Strong computer skills, including calendaring, document management, Dropbox, Box, etc., word processing, database
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confocal and fluorescence microscopy techniques, molecular techniques (PCR, Western blot, RNA silencing), and autophagy research methods Analysis and interpretation of experimental data and deriving new
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utilizing quantitative tools and qualitative methods for policy and/or technical analysis Publication record that includes a combination of peer-reviewed journal, research reports, issue briefs, op-eds, and
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includes optimizing photonic enhancement techniques for improving the optical scattering of single impurity particles. In this regard, surface engineering methods, theoretical modeling and optical microscopy
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) Number of offers available1Company/InstituteDepartment of Computer Engineering of the University of Coimbra CountryPortugalState/ProvinceCoimbraGeofield Contact City Coimbra Website https://www.uc.pt
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Southern Illinois University - School of Medicine | Springfield, Illinois | United States | 2 days ago
two (2) years (24 months) Bachelor's Degree (120 semester hours) equals three (3) years (36 months) Work experience performing office/clerical activities, including the use of computer systems. One (1
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California State University, San Bernardino | San Bernardino, California | United States | about 1 hour ago
exercising authority over large and/or complex events and conferences. Demonstrates advanced discernment in determining appropriate plans and methods to achieve event and/or conference goals and while ensuring
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will have master's level training in biostatistics, computer/data science (coding), or epidemiology. This position will work alongside our team's epidemiologist and clinical data manager, and primarily
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have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Demonstrated experience in computational methods, particularly in deep learning and computer