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simulation of variable speed electric machines Numerical methods for finite element simulations Magnetism in polycrystalline microstructures Magneto-mechanical interaction in ferromagnetism Experience or
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(experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C++, or similar
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multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C++, or similar) for simulation and
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. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills
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fully determine the torsional response using conventional methods alone. Unknown external forces and torsional response can instead be estimated using methods such as convex optimization or Kalman
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with transistor-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard
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-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard circuit simulation tools
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hardware and facilities must take, without breaking service. A fleet orchestration layer coordinates many sites, even when they have different owners, using trusted and privacy-preserving methods, so the
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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to
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facilities must take, without breaking service. A fleet orchestration layer coordinates many sites, even when they have different owners, using trusted and privacy-preserving methods, so the whole