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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 19 days ago
Position Details Position Information Position Title Postdoctoral Fellow in Digital Twin for Ocean Industries Posting Number PTAP2374P Department/Unit Industrial Engineering Location Halifax, Nova
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in both healthy and diseased cells. This project is hosted in the laboratory of Professor Mat Coleman, Head of Department of Cancer and Genomic Sciences, School of Medical Sciences, University
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represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology
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and skills transfer between disciplines, organisations and sectors structured, skill-based training high-quality working conditions personal career support equal opportunities For more information see
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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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for health promotion, disease prevention, and care delivery. We are a federally-funded, interdisciplinary team applying expertise from social and behavioral sciences, systems engineering, informatics, human
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with research assistants at the AustLit and AusStage digital databases to identify, augment, and analyse data related to the city of Darwin/Larrakia Nation and its literary and performative
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interpreting 3D seismic and well data is a requirement, preferably using Petrel. Experience with quantitative earth science and modelling is an advantage. Experience of salt tectonics is an advantage. Experience
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of public law wih direct links to international law. Of particular interest are applicants who are interested in the Asia-Pacific region; technology and digital economy; sustainable development; cybersecurity
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flow law, compare it to similar research on olivine, and help implementing this model into the geodynamic software ASPECT. The aim is to develop a single method for anisotropic flow modelling for both