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of systems and data sources. Using the DR research to create guidelines for the development of the ontological structure for the DT. Development of DT information modelling, data fusion, and forecasting
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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, educational psychology, behavioral science, artificial intelligence, or a related discipline; solid methodological and analytical skills, with experience in conducting qualitative and/or mixed methods research
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Chemistry, Environmental Science, or Chemical Engineering. It is essential that the candidate has experience and/or an understanding of analytical chemistry and biological wastewater treatment. It is
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the available analytical options, liquid chromatography with various detection modes, target and non-target mass spectrometry, and nuclear magnetic resonance (NMR) spectroscopy will be the main applied methods
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://kdvi.uva.nl/research/discrete-mathematics-and-quantum-information/discrete-mathematics-and-quantum-information.html#Academic-Staff Silke Henkes -- https://www.universiteitleiden.nl/en/science/physics/biological
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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information about the research group, publications, projects, and Prof. Shah, please visit: https://faculty.sites.uci.edu/pratikshahlab/ ; https://www.pratiks.info/ The candidate will contribute to two key