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highly motivated candidates for a Postdoctoral Fellow position to work on research in the areas of systems of differential equations (ordinary differential equations, fractional differential equations
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Geometry Differential Geometry and Geometric Analysis Differential Equations Scientific Computing Interdisciplinary Studies Analysis and Probability Mathematical foundations for AI Applicants are encouraged
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of mathematics including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications provided by researchers. Excellent communication skills and
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01.10.2025. Employment is contingent upon the degree being awarded. Solid experience with numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required
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University of Northern British Columbia | Prince George North, British Columbia | Canada | about 10 hours ago
interests in either partial differential equations (PDE) or number theory. Both positions are two-year positions, with renewal for the second year subject to satisfactory performance. For information
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-documented code. Knowledge of mathematics including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications provided by researchers
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, data science, differential equations, mathematical logic, mathematical physics, numerical analysis, neural networks, representation theory, and topology, with potential interdisciplinary applications
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writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications
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aligned with areas of research in the Department of Mathematics that include algebra, analysis, applied/computational mathematics, bio-medical mathematics, data science, differential equations, mathematical
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numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least one of the following areas is required: Numerical methods for large-scale