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lifecycle management. At the same time, the project delves into software design concerns, focusing on the internal structure and evolution of AI-enabled components themselves, including the design of
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application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
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: Metallurgy, Process physics modelling, and Process development and control. Our main aim is to fundamentally study and improve our understanding of welding and welding-based additive manufacturing processes
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the society and industry, we strive to solve society's major challenges – together. At the Division of Fluid Dynamics , we develop advanced experimental and computational techniques to investigate flows in both
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aims to develop hybrid quantum–classical approaches for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how
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natural sciences, and applications in medicine and life sciences. About the research project The research project develops stochastic and statistical models for large ensembles of interacting shapes
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representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling and machine
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investigations of insect sensory systems. Assessment criteria and other qualifications This is a career development position primarily focused on research. The position is intended as an initial step in a career