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research fellow to support ongoing research projects in diffusion generative models and Monte Carlo stochastic simulation methods. This position holder will apply these techniques and other advanced AI
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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support the development of AI-driven and data-driven approaches for the discovery and design of functional materials. The role will involve the development and application of machine learning models, high
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2nd October 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and modelling of alpine vegetation change Apply for this job See advertisement UiB - Knowledge
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, computational modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design
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/09/2026 Role Description We welcome applications from skilled researchers with a passion for advancing simulation, modelling and control technologies for automated cars. About the Role The postholder
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stability. Experience in hardware experimentation, controller implementation, and hardware-in-the-loop (HIL) validation. Experience with data-driven modelling techniques, real-time digital simulation
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experience in atomistic simulations is preferred. • Development or working experience of generative models in scientific applications (e.g., diffusion/flow model) and working experience with agents
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims
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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why