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. The future junior professor is expected to address key questions in the area of numerical methods for partial differential equations. Participation in the research activities of the Faculty of Natural Sciences
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. Mathematics courses the first year of instruction could include Differential, Integral and Vector Calculus, Differential Equations, and Matrix and Power Series methods. Statistics courses the first year of
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within the framework described above. Academic publications and popular science dissemination. Contribute in the SURE-AI project activities. Participate in the Differential Equations and Numerical Analysis
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with strong potential to complement and strengthen current departmental expertise in areas such as Differential Equations, Computational Mathematics, Convex Geometry, Statistics, and Mathematics
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. Proficiency in modelling using differential equations is required. Candidates are expected to have experience in developing and implementing computational models for computer simulations. Software development
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with innovative large-lecture (>100 student) course delivery in Calculus or Differential Equations is also preferred. The successful candidate will have the opportunity to teach undergraduate courses
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analysis/control, partial differential equations, set theory, and topology. The department has a long tradition of excellence. The first Ph.D. granted west of the Mississippi was in mathematics at KU in 1895
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Tensorflow or Pytorch is advantageous Experience in numerical methods for partial differential equations is beneficial Effective communication skills and an interest in contributing to a highly international
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into the following sections: A - Algebra, Number Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F
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equations, statistics, game theory, machine learning Deadline for submitting applications: 20 February 2026 Required documents All documents must be submitted via the online platform https://jobs.uw.edu.pl/en