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Generate and manage participant GUIDs across studies and maintain the CCBH GUID Portal linking GUID, study ID, REDCap record ID and visit status Run Python pipelines that pull REDCap and study data
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manuscripts for international peer-reviewed journals and collaborate effectively with international research partners. Programing and data analysis skills (e.g., MATLAB, Python, R). Prior experience in in-vivo
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-scale firm-level or related datasets. Proficiency in Python and/or Stata for data management, statistical analysis, and empirical research. Experience in merging and managing large datasets from multiple
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can derive by hand and build up to large-scale calculations. You will need a background in condensed matter physics / quantum mechanics and an interest in coding (Python); no prior experience with
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, or an equivalent qualification; (b) strong programming skills (e.g. Python) and experience with machine learning or deep learning frameworks; and (c) good communication skills in English, and the
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knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies. Proficiency in Python programming and experience with deep learning frameworks such as PyTorch
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discipline A background in thermodynamics, energy systems, process modelling, programming, or simulation tools such as MATLAB, Python, Aspen Plus, TRNSYS, or EES is desirable. Funding Package UKRI tax-free
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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background in non-linear EEG methods, spectral analysis, and network-based approaches to sleep dynamics. The ideal candidate will have extensive experience in Python programming and be proficient in handling
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de datos. Programación en R o Matlab (o Python). Análisis y modelado de series temporales mediante técnicas ARIMA. Redacción de informes técnicos. Publicación de resultados como artículos científicos o