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Ariel University, Physics Department Position ID: 3659-PD [#27692] Position Title: Position Type: Postdoctoral Position Location: Various locations, Israel Subject Areas: noncommutative geometry
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 25 days ago
mechanics (e.g. Computer Graphics, Virtual Prototyping, or more fundamental problems in elasticity/geometry/contact/friction), capable to work alongside in real physical experiments, and curious to discover
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. Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with 3D data formats, graphics, and geometry processing. Preferred Qualifications Hands-on experience
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integration of simulation and AI-based analysis. An analytical Monte Carlo-inspired simulator will optimize system geometry and acquisition parameters, support sensitivity studies, and serve as a forward
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: moduli spaces in algebraic geometry, syzygies of algebraic varieties, algebraic curves, character varieties and hyperplane arrangements, abelian varieties and K3 surfaces etc. Closing date is September 9
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
Territory 2601, Australia [map ] Subject Area: Geometry of character varieties Starting Date: 2025/11/05 Salary Range: $89,313 - $112,103 per annum plus 17% super Appl Deadline: 2025/12/06 11:59PM * (posted
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
the Australian Research Council (ARC) Discovery project “Geometry of character varieties.” The primary aim of the position is to carry out the research programme proposed in the Discovery project. This will be
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at ESRF with the open-source PyNX software suite which exploits graphical processing units (GPU) for accelerated reconstructions enabling online data analysis. You will drive software development to exploit
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at the Institute of Visual Computing, course on Fundamentals of Geometry Processing, or Data Structures and Algorithms. Co-supervision of bachelor and master thesis. Research and development
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. Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with 3D data formats, graphics, and geometry processing. Preferred Qualifications Hands-on experience