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the field of humanoid robotics and their successful deployment in industry? Do you find the idea of working on a high fidelity multi-body dynamics simulation and controls toolbox fascinating? The research
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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chemistry and food technology to molecular and data- driven nutrition (Precision Nutrition). In Food Science, we focus primarily on marine and plant-based food systems for which we develop tools and processes
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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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work will build on and extend an advanced in-house time-domain simulation tool for wheel–rail interaction and noise. The project is carried out in close collaboration with DB InfraGO, the German railway
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develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural disasters. Be part of a dynamic, international team shaping the future of environmental monitoring! About us At
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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-fabrication processes for superconducting devices Automatic bring-up and calibration of quantum processors Design and simulation of quantum processors Optimal-control techniques for high-fidelity qubit
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Join our dynamic Photonics Laboratory at Chalmers, where you will work on cutting-edge silicon photonics, optoelectronics, and fiber optic systems. You will have the opportunity to develop
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
professors and a dynamic team of PhD students and postdocs working in areas such as wireless and optical communication, information security, information theory, and machine learning. At the department, we