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is to create and combine knowledge on relevant atmospheric flow statistics with AWE time-domain analysis and uncertainty quantification, to determine loads statistics and failure probabilities
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. This entails new models for integrating choice and process data, new statistical inference procedures tailored to such models, and new methods for collecting rich behavioural data in immersive experiments
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quantitative metrics of faults and defects, integrating statistical metrics into active inspection behaviors. Collaborate with a multidisciplinary team—from the AUTOASSESS project—to integrate your algorithms
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economy. On the other hand, the abundance of data can be used by attackers to identify network bottlenecks and other system vulnerabilities. This project focuses on applying and developing new statistical
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from many different sources into data frames that can be analyzed with biostatistical applications in the statistical software R/Python. Performing data analysis in accordance with time-structures and
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Job Description Do you want to shape the future of healthcare in the era of digitalization with a focus on scientific research? Then we have the right opportunity for you. The Department of Technology, Management, and Economics at Technical University of Denmark invites applications for a 3-year...
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suited for data science and statistics: Python, R, MATLAB Strong English communication skills; both written and orally Experience with any of the following is appreciated. mySQL, computational workflow
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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python
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to present results in technical reports and prepare scientific papers for publication in international journals Strong programming skills The ability to work effectively with data and applied statistics Some
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, marine biology, oceanography or a related field. A demonstrated, keen interest in marine movement ecology, fisheries and conservation Strong programming skills (R and QGIS desirable) including statistical