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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 4 hours ago
POSTDOCTORAL FELLOW POSITION: Hybrid Scientific Machine Learning and Numerical Weather Prediction (Canadian Arctic) Department of Mathematics | Simon Fraser University (SFU) | Metro Vancouver, BC
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while maintaining scientific rigor. Qualifications: PhD in artificial intelligence, machine learning, cardiovascular medicine, genomics, or a related discipline, obtained within the last 5 years, by
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) * Longitudinal Data Analysis, Dependence Modeling, Time Series Analysis, Statistical/Machine Learning, Computational Statistics (Erfanul Hoque) * Biostatistics, with a focus on survival data analysis
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Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and
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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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undergraduate students and contribute to a collaborative research environment. · Perform other related duties as required. Minimum Qualifications: Successful applicants will have: · A recent PhD in
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asset. · Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial intelligence, or translational biomedical research is considered an asset. Supervision Receiv ed
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related molecular measures. · Integration of imaging with genomic, epigenomic or other molecular data using multivariate, statistical-genetic or machine-learning approaches. · Research involving
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biology, bioinformatics, computer science, data science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health
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developing or implementing quality control programs or long-term performance monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows