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- Univsersità degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Industriale
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, algebraic statistics, topological data analysis), and computational areas (e.g., scientific machine learning, optimization, inverse problems, data assimilation). The position offers opportunities for cross
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condensates (BECs) support long-lived, highly tunable nonlinear collective excita- tions — solitons, vortices, quantum droplets and topological textures — that remain largely unex- ploited as quantum
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Univsersità degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Industriale | Italy | 2 months ago
will focus on the deveopmento of classification methods for mechanisms and robotics, expanding kinematic notation to descrive topologi in a compact form but minimizing ambiguity. Where to apply Website
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the future? PhD research fellow in "Distributed Optimization and Control of Reactive Power" Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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algebra, analysis, applied mathematics, and geometry/topology. Candidates must submit a cover letter and curriculum vitae at https://www.ubjobs.buffalo.edu/postings/64020 Candidates should also submit a
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, applied mathematics, and geometry/topology. Candidates must submit a cover letter and curriculum vitae at https://www.ubjobs.buffalo.edu/postings/64013 Candidates should also submit a cover letter
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Points). - Lead network topology planning, hardware lifecycle management, provisioning standards, and edge-to-core connectivity strategies. - Partner with network architecture leads to optimize network
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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optimization engines for memory-aware deployment, compiler and runtime systems capable of supporting dynamic neural network topologies, energy-efficient embedded AI frameworks targeting RISC-V multicore and