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Field
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, MatLab or similar) Excellent written and oral communication skills in English. In addition, documented experience in one or more of the following is advantageous: Designing and running cognitive
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computing (e.g. Python, MATLAB, or similar) for data processing and data handling Experience with data processing, analysis and interpretation Excellent interdisciplinary communication – Strong collaborative
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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educational system. Experience with analysis of electrophysiological neural recordings or human neuroimaging data Experience with scientific programming (e.g., Python, MatLab, R or similar) Excellent written
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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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reconstruction methods (e.g., Born/Rytov approximations, multislice or multiple-scattering models). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including
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Proficiency in scientific programming and simulation tools (e.g., Python, MATLAB) Proven ability to conduct independent research, publish high-quality work, and collaborate effectively Strong written and oral
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. You will need excellent programming skills (e.g. Python, MATLAB), and a solid understanding of grid codes, standards, and flexibility modelling. Strong communication skills, the ability to work both
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theory, market structures, game theory, and programming skills (e.g. Python, MATLAB), alongside a deep understanding of policy and market issues related to local energy communities in the UK and EU. We
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, numerical analysis, particle technology and pharmaceutical engineering and software packages (e.g., BIOVIA Materials Studio, ANSYS CFD and MATLAB) for modelling of particulate systems (such as crystallisation