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Field
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Principal Investigator (PI) or Co-Principal Investigator (Co-PI) on research studies. Perform non-linear, dynamic, finite element analysis (FEA) and design for various research studies involving low- to high
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. Candidates should demonstrate outstanding research potential and have a strong commitment to teaching excellence. Candidates with postdoctoral experience as well as new PhDs are welcome to apply. A PhD is
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to develop an SDT that simulates real-time system operation in a dynamic virtual environment. 3. Online Implementation: Deploying the SDT on an evolving online platform, continuously updated with new data and
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trends, digitalization and polarization. Societal challenges are addressed through five research themes: Socioeconomic and intergenerational inequalities Demographic changes and family dynamics Education
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. Applying machine learning to New Zealand’s landslide inventories to model landslide location, character and dynamics. Integrating time-series and inventory data to develop new models to predict location
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at the intersection of environmental planning, urban design, and digital innovation. You will be part of a dynamic team working to shape evidence-based policy and design solutions that improve air quality
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collaboration with the Air Force Research Lab (AFRL) Regional Network Midwest, is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work within
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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members of the Business Disability Forum and Stonewall University Champions Programme. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural