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Field
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Physics. Skills in Python and/or MATLAB programming are highly desirable, as are skills in both verbal and written communication in English.The PhD programme will be supervised by Dr Finnigan Illsley-Kemp
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experience in Matlab (punctuation: 55) Item 03: Interview. Only those candidates who have obtained an aggregated score higher than 50 points in the previous two items will be interviewed (punctuation: 15
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techniques (punctuation: 20) Item 03: Experience in experiments with lampreys or other basal vertebrate models (punctuation: 15) Item 04: Experience using programming tools (Matlab/Python) for data analysis
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome
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configurations will be used to develop models in Matlab/SIMULINK of bipole converters with neutral current regulation. The research will then consider the potential interactions that may occur when all
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systems have not been studied extensively. This PhD will model loads, generation, and the electrical network in Matlab/SIMULINK from an electrical network perspective and undertake network studies to assess
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary
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related subject Previous coding experience (e.g. python, bash, matlab) Good administrative skills, and the ability to organise and prioritise workload Excellent interpersonal, oral and written communication