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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 23 days ago
(https://www.ofi.ca/programs/transform-climate-action) is currently underway. This project aims to develop a framework and models for a Digital Twin for Ocean Industries, for optimal deployment to support
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates. The planned PhD research topic will explore techniques to handle protected data in digital twin architectures
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’ methodological skillsets. There are different models of Postdoctoral programs. CIL follows the Academic Community model, whereby fellows are part of an academic community learning and advancing not only from
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-economic study, design and analysis of integrated systems. Experience with energy system modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis
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diseases. Specifically, this postdoctoral fellow will focus on establishing biology models and assays relevant to the in vivo cell therapy platform, generating and testing novel in vivo cell therapy designs
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and design of advanced packages that have grown increasingly complicated and 3-dimensional. We seek a postdoc to help develop high sensitivity magnetic microscopes, based on magnetic tunnel junction
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enhance our contribution to society. Responsibilities* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis
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. The goal is to contribute broadly to research on applications of AI in medicine, and in particular to the development and validation of novel computational language models, algorithms, and tools