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to individual variation in brain structure and function across development and ageing, and in neuropsychiatric disorders. The research will integrate human neuroimaging with genomic and epigenomic information
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new challenges and assignments. Education: The successful candidate will have completed a PhD in a relevant discipline such as hydrology, water resources, civil or agricultural engineering
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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computational scientists to analyse large-scale datasets using state-of-the-art bioinformatics and artificial intelligence approaches. Prepare manuscripts for publication in leading international journals
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information about the laboratory can be found here Epigenomics Laboratory (EGL) . Project This project is part of a multidisciplinary research program aimed at understanding the epigenetic and clonal evolution
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
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, with a particular focus on biological embedding and biological ageing. We use worldwide multi-cohort data to examine how life-course socioeconomic conditions become biologically embedded, as measured by
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community partners. Please visit our websites for more information about the BCCVH (https://www.bcvulvarhealth.ca/ ) and Dr. Bouchard’s research lab (https://phaselab.med.ubc.ca/ ). Dr. Katrina Bouchard is a