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Field
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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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at Northeastern. (10%) Required Qualifications: - Ph.D. in Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS
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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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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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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 south of Norway. Responsibilities In this position, the candidates will work to develop new methods for accelerating the study of aging in commercial Li-ion battery cells and determining implications
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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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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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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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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