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functional genomics to reveal how genes sculpt morphology. You will also build your research profile through publications, grants and supervision within a supportive, high performing lab. What you will deliver
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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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, or be awaiting their viva. Ideally, you will have experience with the numerical analysis and computational approximation of PDEs using the finite element method. Experience with degenerate parabolic
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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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. Please note that field research may occur during adverse weather (e.g., extreme heat or cold, during rainfall events). Laboratory activities may include processing soil, plant or water samples for analysis
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student training. The position also supports the overall research objectives of the University by maintaining high standards of scientific integrity, collaboration, and compliance with institutional and
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programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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, emission via the spintronic THz emitter, and detection using a photoconductive antenna. Development of computational algorithms to achieve high-resolution THz imaging. Prepare, write, and contribute
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational