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Field
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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(MATLAB, Python etc.) Personal characteristics Structured Thourough Trustworthy Innovative, creative and open minded Emphasis will be placed on motivation, personal and interpersonal qualities. We offer
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PhD registration at Imperial College London. Experience in energy systems modelling, techno-economic analysis, or renewable energy integration Familiarity with modelling tools such as Python, MATLAB
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proficiency in relevant programming languages (e.g., Python, R, Matlab). Demonstrate excellent communication skills for articulating research in presentations and publications. Show a track record of publishing
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your points for admission. Emphasis is also placed on your: strong background in quantitative analysis and data manipulation proficiency with programming languages such as R, Python, MATLAB, or similar
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surveys; Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R
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(e.g. with Matlab, Python) Experience with neuroimaging techniques (MRI, EEG and/or TMS). Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc. Experience with
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survey and/or interview methods (e.g., field interviews, focus groups, online survey design). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis
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analysis (e.g., MATLAB, Python). Demonstrated ability to independently design, conduct, and analyze experiments. Excellent written and oral communication skills. Applicants are expected to have met all
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written