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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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of singularities, birational geometry, valuation theory, commutative algebra/integral closure methods, metric geometry of singularities. The positions could lead to a permanent job in the Institute of Mathematics
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Python with PyTorch (or equivalent deep learning framework). Experience with computer vision workflows (e.g., pose estimation, segmentation, tracking, multi-view geometry, 3D vision). Strong software
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Humboldt Universität zu Berlin / Leibniz Universität Hannover, Research Training Group 2965 - From Geometry to Numbers Position ID: 3414-RTGPHD3 [#27564] Position Title: Position Type: Student
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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7 Jan 2026 Job Information Organisation/Company KU LEUVEN Research Field Mathematics » Algebra Mathematics » Geometry Mathematics » Number theory Mathematics » Mathematical analysis Mathematics
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to apply concepts of basic algebra and geometry. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in
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00000, China [map ] Subject Areas: Higher Category Theory, Geometric Representation Theory, Algebraic Geometry, and Low-dimensional Topology Appl Deadline: 2026/04/01 04:59 AM (posted 2025/10/15 05:00 AM
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Application deadline: 30/06/2026 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined