366 postdoc-parallel-computing positions at University of Sheffield in United Kingdom
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, predictive modelling and simulation will be carried out to assess delamination in cross-ply carbon fiber epoxy laminates. This research will benefit from excellent computing facilities, expertise in computer
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parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi
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/ requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi (h.ghadbeigi@sheffield.ac.uk) for more details. Funding Notes This project
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parameter selection and process optimisation. Previous experience / requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Funding Notes Please note that this
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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research...
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complexity, classical control techniques cannot be easily applied because of computational bottlenecks or an absence of suitable prediction models. Distributed control approaches have been conceived to handle
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forces reactors to operate significantly below their theoretical limits. By developing computational models that go beyond current limitations, you will contribute to unlocking the safe operation of
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space systems. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including flight simulator
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/battery systems for distributed power generation. The balance of economics and performance of the system will be the main objective of the research. Computer modeling techniques will be employed in order to
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tested at laboratory scale. The research will benefit from the available experimental facilities including laboratory-scale digesters, excellent analytical facilities, expertise in the computer modelling