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the ‘Apply’ button above. Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F
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experience with experimental design, eye-tracking, data analysis, and coding (e.g., R, Matlab, Python) are highly desirable but not essential. The project will be supervised by Dr George Malcolm and the
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. A masters degree in a neuroscience related discipline, experience with coding (e.g. Matlab, Python, R etc) and conducting human neuroscience experiments and analyses are desirable. If your first
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-funding/?code=GPSJUS26 Contact details If you are interested in applying, please contact Prof. Derek Bell (derek.bell@ncl.ac.uk ) or Prof. Danny MacKinnon (danny.mackinnon@ncl.ac.uk ) for an informal
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8821F Please leave the Research Area blank Select ‘PhD Physics Theoretical (full time) as the
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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energy trading strategies will also be proposed and investigated to achieve optimized P2P trading within the EC. The project will be done using MATLAB coding and modelling in Simulink environment. Funding
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the programme code: 8100F · select ‘PhD Chemistry (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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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8080F Research area: Pure Mathematics select ‘PhD Mathematics (full time)’ as the programme of study You
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8839F select ‘PhD Physics (FT) (Experimental)' as the programme of study You will then need to provide