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Field
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computer skills Physical Demands Must be able to sit for extended periods of time and work in standard office environment Must be able to occasionally lift 20 pounds Must be able to work occasional weekends
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skills relevant to maintenance, repair, and modification of scientific instruments. Qualifications Experience with biological experimental design and implementation. Computer skills for instrument
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; assist with manuscript and grant writing; develop a K award, educate collaborators and lab members on methods used in analyses; supervise students rotating through the lab; stay abreast of new analytic
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, and AI chatbot chats; (b) quantitative content analysis; (c)text mining and machine learning methods; (d) survey design and public opinion research; (e) election studies; (f) the Norwegian political
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post-outcome variable. Motivated by this result, we provide a novel method that identifies and estimates the treatment effect, using an assumption inspired by common practice: the conditional
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acquisition and data analysis methods for users i) Troubleshoot equipment failures, procure repair parts, implement repairs, supervise field service, and test equipment for proper function after repairs j
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas emissions. However, the positive trend in the estimated
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appropriate conditions, it provides a confidence set (credibility set if prediction is Bayesian) for a multivariate estimate with statistical coverage guarantees. This PhD project aims to develop new CP methods
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within