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with modern machine learning and AI technologies to effectively address large-scale problems. About the research project We are seeking a highly motivated Postdoc to join our group in developing
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magnetoelectric coupling, particularly those related to chiral magnetism. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must hold a
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The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista
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, accepted, or under review), 2) experience in optimization or machine learning. We would like to know where your interest lies. Therefore, you are required to submit a research statement where you describe
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application! Work assignments As a postdoctoral researcher, you will engage in independent and collaborative research in one or more of the topics of multimodal machine learning, artificial intelligence
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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in
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X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has
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X-ray Science. AMBER is funded by the EU Marie Skodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call, with each fellowship lasting 36 months. AMBER has six core
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic