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by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the 4th call 2025. Each fellowship lasts 36 months. For more information, visit https://www.euraxess.se
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Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the 4th call 2025. Each fellowship lasts 36 months. For more information, visit https://www.euraxess.se/jobs/341970
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experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods
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experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods
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Description of the workplace The Department of Atomic Physics at the Department of Physics, Lund University, has a staff of approximately 50 researchers, including visiting researchers and doctoral
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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School of Engineering Sciences at KTH Job description The research project concerns the development and use of MINFLUX single-molecule microscopy for cellular imaging and dynamic studies on the nanoscale. The project is conducted at the national center for molecular life sciences and in the...
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intent to generate practical insights and solutions—particularly for startups or small- and medium-sized enterprises (SMEs). Main responsibilities Your major responsibility as postdoc is to perform your
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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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the training process to several network threats, such as DDoS attacks, traffic hijacking, and traffic analysis. While these risks are well-studied in existing literature, their impacts on distributed AI training