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code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following information in the ‘Further
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code: 8060F · select ‘PhD Electrical and Electronic Engineering (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8090F · select ‘PhD Mechanical Engineering (full time
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the programme code: 8040F · select ‘PhD Civil Engineering (Structural) (full time) – 8040F as the programme of study You will then need to provide the following information in the ‘Further Details’ section
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the programme code: 8030F · select ‘PhD Chemical Engineering (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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code: 8040F. · select ‘PhD Civil Engineering (full time) ' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal
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subject Knowledge of neuroimaging, machine learning, and/or neurodevelopment Proven record of ability to conduct high quality research in relevant health related subject Previous coding experience (e.g
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Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the
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hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant technical skills. Prior experience with medical imaging data and Python coding is
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: Search for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide