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that delivers end-to-end, combining infrastructure, data engineering, data science, and operations. To generate insight and digitalise business processes, we apply AI/ML to time-series analysis, natural
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, flexible and sustainable integration of cooling in future energy systems. Your work will be structured around two strongly interconnected research directions. In the first, you will work with market-driven
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and possible exemptions can be found here: https://www.sv.uio.no/english/research/phd/structure/programme-description.html#two Desired qualifications Experience with statistical genetics, polygenic
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mechanisms, structural dependencies, and intervention effects, which is especially important for real-world applications. The postdoc position is connected to the Collaborative Research Centre (CRC) 1294 “Data
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coordination Proficiency with computational tools for data analysis and management in a structural biology setting (e.g., Linux-based systems, data processing pipelines) Knowledge, Skills and Abilities
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Proficiency with computational tools for data analysis and management in a structural biology setting (e.g., Linux-based systems, data processing pipelines) Knowledge, Skills and Abilities: Knowledge of X-ray
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supports projects spanning AI, environmental science, HPC, and data management, helping stakeholders turn ideas into impactful results. The QA Analyst will play a key role in ensuring the reliability
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candidate will lead tasks related to experimental testing and numerical modelling to verify structural performance under representative environmental conditions and establish a design envelope for
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the analysis of new releases to determine how workflow should be modified, building and populating databases and tables during initial system configuration, conducting system testing, and conversion data
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University of California Agriculture and Natural Resources | Oakland, California | United States | about 1 month ago
, interrupted time series models, latent class analysis, principal components analysis, structural equation modeling, multiple imputation, non-parametric analyses such as Mann-Whitney U tests and Wilcoxon signed