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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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: 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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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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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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. We work on valorization of side streams boths from industry and agriculture for example producing textile fibers from grass and develop resource- and energy-efficient processes for example for CO2
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on transnational diaspora communities and migrant groups within and outside Europe. Collect and analyze high-quality data. Develop your own research questions within the framework of the project. Participate in
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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
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The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
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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