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Agentic AI is an emerging technology that fundamentally changes product development and evolution. We seek to study the implications of Agentic AI with the intent of accelerating the adoption
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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the Swedish Center for Sustainable Hydropower (SVC). SVC promotes collaborative research across universities and industry to support the future of hydropower. Simulations will be performed using resources from
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design, marine structures, hydrodynamics, safety, and maritime operations. We combine fundamental and applied research, including simulation methods, tools and metocean data, to improve ship safety and
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) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division, our group advances generative models, molecular simulations
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challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division, our group advances generative models, molecular simulations, and molecular design
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found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation Product Development Material Production and in the interaction between these areas. The research covers
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vehicle testing with human test subjects on test tracks and prototype vehicles Perform a benefit analysis of the proposed algorithms using simulation. You will collaborate with researchers from Chalmers
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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, thermal dynamics, and charging strategies. Validate methods through simulation and collaboration with industrial partners (Volvo Group). Publish results in leading journals and present at international