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oversee the operation of the state-of-the-art analytical facilities (LA-ICP-MS, FEG-SEM) and conduct research on combining geochemistry, petrology, and modelling to better understand the signs of a
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Conditions and Ageing (CC.AGE). Read more about the project: https://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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CO2 emissions – besides substantial amounts of heat – every year. Thus, it is one of the key players in moderating atmospheric CO2 and heat buildup and hence the change of climate. However, rising
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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stakeholders and communities across Texas. The solutions we develop will have applications extending far beyond our region, serving as a model for communities worldwide facing similar 21st-century challenges
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across the lifespan. Key Research Areas Elucidating biophysical principles of protein-metabolite interactions under identified stress conditions Developing mathematical frameworks to model proteostasis
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the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting
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digital elevation model (DEM). Experience in using landscape evolution, flow routing, sediment transport, or hydrological models. Experience with drone survey and data processing. Field experience in
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, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. The School of Biomedical Engineering (SBME) at the University of British Columbia (UBC), Vancouver