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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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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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-laminarisation (See J. Fluid Mech., He & Seddighi, 2013 & 2015). The work will include revising the direct numerical simulation (DNS) computer code developed in the group for the simulation of boundary layer flows
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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
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the computer modelling of AD process kinetics, mass balance and operational strategies and links with industry through our collaborative work. Funding Notes 1st or 2:1 degree in Engineering, Materials Science
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2016). This program will develop the 2nd generation of ingestible, magnetically controlled robots and tools that will replace conventional surgical tools. We require applicants to have either
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clinical and non-eating-disordered individuals. However, it does not work to the same degree for all individuals, and is not implemented in the same way by all clinicians. This research programme will