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-level optimisation using TRNSYS and MATLAB/Python. The associate will use advanced characterisation (e.g., DVS, porosimeter, DSC/LFA) to develop and assess adsorption composites, and apply CFD to analyse
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at national and international conferences while fostering collaborations. You will also conduct cutting-edge research, integrating first-person reports with behavioural and neuroimaging data, developing MATLAB
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on methods, analysis, and career development. You will also conduct cutting-edge research, integrating first-person reports with behavioural and neuroimaging data, developing MATLAB/Python pipelines for fMRI
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research, integrating first-person reports with behavioural and neuroimaging data, developing MATLAB/Python pipelines for fMRI whole-brain models, preparing high-quality manuscripts and visualisations, and
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data, developing MATLAB/Python pipelines for EEG analyses, preparing manuscripts and high-quality visualisations, and overseeing ethical approvals and participant recruitment as required. About You You
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field. Experience in the following is essential: single-cell fluorescence microscopy, microfluidics, image analysis, and machine learning (as applied to biological imaging). Python and MATLAB programming
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: single-cell fluorescence microscopy, microfluidics, image analysis, and machine learning (as applied to biological imaging). Python and MATLAB programming, especially in image analysis, are also essential
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, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as Matlab and Python. A curious mindset. An interest in multi
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demonstrated ability to apply and combine methodologies across MATLAB, Python, and/or R. Highly motivated and enthusiastic researcher with a strong and documented interdisciplinary interest in mental health