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, operations research, physics, statistics, or another highly quantitative discipline * A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling * Experience
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feeds Scaling analog in-memory computing towards large generative AI models H/F 192 / 778 vacancy Vacancy details Position description Category Micro and nano technologies Contract Internship Job title
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Skip to main content Search Menu Norwegian version Job openings PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Location Oslo Apply by 6 November 2026 Position
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other stochastic simulation methods Numerical solution of coupled differential or rate equations Atomistic or mesoscale modeling of materials Semiconductor nanocrystals, surfaces, or colloidal growth
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exactly solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and
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, DEM, Lagrangian particle tracking, or coupled CFD-particle methods. Are proficient in numerical modelling and programming, with experience using tools such as ANSYS Fluent, OpenFOAM, Python, C/C
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one of the following areas: mathematical methods, analysis and numerical aspects of machine learning, optimal transport, data science, harmonic analysis, or applications in biology and medicine
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Experience with machine learning or AI methods applied to geosciences Experience with large-scale data analytics and cloud/HPC computing Experience with workflow automation and reproducible research
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been applied to cells, tissues, and biomaterials. Our interest in further development is two-fold: (1) Numerical processing and analysis methods for extraction of actionable information from the rich
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Mathjobs.org | about 1 month ago
, uncertainty quantification and probabilistic methods, and integrating any area of mathematics research and AI. The successful candidate will be expected to develop a leading research program, contribute to