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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 1 hour ago
outstanding research potential in scientific machine learning, numerical analysis, scientific computing, or related areas. Strong scientific computing skills are essential. Prior experience in weather
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 15 days ago
computing and GPU acceleration. We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The
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at least three confidential letters of recommendation, with one addressing teaching, through the Mathjobs website. Review of applications will begin on December 1, 2026, and continue until all
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teaching up to two courses per year. Applications will be received only through MathJobs. A complete application consists of a curriculum vitae, a short statement of research interests, and four
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Ty Ghaswala. Moreover, duties may include teaching up to two courses per year. Applications will be received only through MathJobs. A complete application consists of a curriculum vitae, a short
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with the members of the Geometry & Topology research group. Moreover, duties may include teaching up to one course per 6-month period. Applications will be received only through MathJobs. A complete
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department has 30 regular faculty members, and has leading research programs in Scientific Computing Methods, Mathematical & Quantum Physics, Environmental & Geophysical Fluid Dynamics, Control & Dynamical
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genomics, statistical genetics or genomic data analysis. · Strong quantitative and programming skills, with experience in R, Python or comparable scientific computing environments. · A record of rigorous
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Continued funding if transitioning to a tenure-track or equivalent role during the award period Access to NTU’s AI platforms, research facilities, and computing resources Structured AI training and
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with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing platforms. Working knowledge of at least one of: GWAS, Mendelian randomization, fine-mapping, colocalization, polygenic