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technologies and processes. 2. Quantification of environmental impacts. 3. Statistical analysis. 4. Systems optimization. 5. Dissemination of results. Requirements Research FieldEngineering » Chemical
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affect these trajectories using discontinuous growth modelling and/or other appropriate statistical analyses. Additionally, the student will conduct a qualitative interview study to understand
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exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
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legibility will be evaluated against human response times of user confirmations in a variety of scenarios, using appropriate statistical testing to test the efficacy of the models. The project forms part of a
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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usefulness of the forecast, and perception of forecast performance by the public. Statistical post-processing techniques can help to reduce forecast errors by training machine learning models on data sets
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statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and aggregates can also lead to disclosure as they can
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Department of Mathematics and Mathematical Statistics Temporary position 100% Umeå Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700
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the first two years of data collection. The use of advanced statistical methods is essential to analyze the spectrum with the required precision. The development of these methods began at Subatech using a
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The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be