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research program in computational oncology, centred on new quantitative and machine-learning methods, including artificial intelligence and generative modelling, that integrate single-cell genomics and
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strength include mathematical oncology, computational physiology, systems and synthetic biology, mathematical neuroscience, and infectious-disease and epidemiological modelling. Relevant
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, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries
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University of British Columbia, Okanagan campus, is seeking a full-time Research Associate to support an active research program spanning fire behaviour modelling, fire-relevant climate modelling
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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
, uncertainty analysis, and model validation. Improve existing models through the application of advanced analytical and simulation approaches. Design and implement computational algorithms to support
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your ranked top choices of courses for the Winter 2027 semester by uploading the completed TA application form to your application in Workday: https://www.mcgill.ca/hr/files/hr/1_
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to work within the Aparicio lab ( https://aparicio.molonc.ca ). Located at the BC Cancer Research Institute, within the Department of Basic and Translational Research; Molecular Oncology, our
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. Our research integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab
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, integrity and collaboration, we want you to apply! To know more about the NRC and the advantage, please click on the following link: https://nrc.canada.ca/en/corporate/careers/nrc-advantage Screening
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semester by uploading the completed TA application form to your application in Workday: https://www.mcgill.ca/hr/files/hr/1_-_graduate_student_application_for_ta_-_english_-_jan_2021_-_fillable.pdf Upload