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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area
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postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and
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computational simulation techniques are used. The research is applied to understand orthopaedic problems and to develop better methods to improve tissues regeneration. The group encompasses about 15 scientists
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of mathematical areas. The position will be placed at the Department of Computer Vision and Machine Learning (CVML) at the Mathematics Centre (https://maths.lu.se/). Mathematics Centre is a department
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to methods and principles aimed at understanding and modelling the mechanics of deformable bodies. Solid mechanics is a core discipline in mechanical engineering and is of fundamental importance to many other
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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Ref no: ORU 2.1.1-03065/2025 We are looking for up to three postdoctoral researchers in Computer Science, specializing in Cybersecurity, for a fixed-term position at the School of Science and
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environment with strong links to both industry and European collaborative projects. Project description You will lead the development of a system-level noise model for ducted fans and propellers, with