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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 6 hours ago
Research Council Office across Canada Classification: RO/RCO Tenure: Term Work arrangements: Depending on the nature of the work and operational requirements, positions hired through this program may be
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Smart Cities and Urban Informatics (Ref. 251208008) The Department of Land Surveying and Geo-Informatics (LSGI) is
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
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Website https://www.academictransfer.com/en/jobs/357906/phd-position-on-computational-i… Requirements Specific Requirements We are looking for talented enthusiastic PhD candidates who meet the following
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Your Job: In this PhD project, you will shape the future of power system security by harnessing exascale computing. Your research will focus on understanding and enhancing grid resilience under
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute
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The project: The High Performance Computing (HPC) services of today provide the computational density to perform groundbreaking science. These services facilitate the distribution of a problem space
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This studentship is open to UK students only The School of Chemistry at the University of Nottingham welcomes PhD applications in Theoretical and Computational Chemistry. The studentship is fully
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. The candidate should have a strong background in computational biology or a related field. They will: Work closely with the clinical partner to understand the unmet clinical needs. Integrate the existing datasets