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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
Carlo systems, e.g. Geant4, CombLayer Ability to provide mathematical support for computational development, e.g. geometric algebra, Boolean algebra optinisation, particle transport applications
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-based symbolic machine learning. The aim is to give the industrial widely used NewWave theory (a theory that predicts the linear shape of extreme waves) a modern twist to account for the important
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should do it — with high assurance. Our project aims to integrate Linear Temporal Logic (LTL) and the Planning Domain Definition Language (PDDL) to build a more expressive and efficient framework
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of Logistics. You can read more about the department here . About the position Digital technologies may aid the transition from a linear economy to a circular economy that may help reducing the demand for virgin
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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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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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Assistant Professorship in Mathematics beginning February 2025. We particularly invite candidates whose research interests align with Algebraic Geometry and with the possibility of teaching one course during
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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analysis, and documentation. Good networking skills and ability to work in a non-linear, collaborative environment where diverse viewpoints are valued and integrated into the design process. Emphasis will be
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include: Advancing modeling tools for improved representation of electricity generation potential and energy demand, with a focus on the electricity and heat sectors. Utilizing a linear optimization