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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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, perinatal mental health, child health). High degree of competence in standard medical statistics and in using statistical software packages (e.g. R, Stata or Python). Experience working with large-scale
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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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Python, using GPUs), with the precise balance determined by the candidate’s background and interests. The mathematical tools involved will include matrix analysis, optimization, backward error analysis
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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
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—and machine learning to work within established research programmes. A strong, demonstrable experience in research software development using Python programming language and modern machine learning
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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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and Python and familiarity working with microbiome and host multi-omic data. Due to the nature of the research at the Kennedy Institute of Rheumatology, this job will require additional security pre
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data-processing pipelines for bulk and single-nuclei genomic datasets, including RNA-seq, ATAC-seq, and whole-genome sequencing. Proficiency in programming (Python or R), experience contributing