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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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with proficiency in Python, R, and tools relevant to multi-omics data analysis (e.g., CellRanger, GECKO, tINIT) Demonstrated ability to work independently, manage time effectively, and meet competing
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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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with proficiency in Python, R, and tools relevant to multi-omics data analysis (e.g., CellRanger, GECKO, tINIT) Demonstrated ability to work independently, manage time effectively, and meet competing
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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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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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(e.g., R, Python, MATLAB). Strong communication and collaborative skills and a friendly, open personality relevant to thriving within interdisciplinary environments. At Edge Hill University we value
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. Proficiency in Python Background in statistical learning theory, conformal prediction, multiple hypothesis testing, quantum machine learning, neuromorphic computing, or reliable inference Demonstrated ability
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, with proficiency in Python and deep learning frameworks like PyTorch, Hugging Face, sklearn, tensorflow. Excellent verbal and written communication skills Experience with GPU training and handling large
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is desirable that you have proficiency in scripting with high-level languages such as R and Python and familiarity working with microbiome and host multi-omic data. Due to the nature of the research