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interactions between plants and microorganisms, and other forms of stress such as plant growth and development, biotechnology and metabolic manipulation, regulation of gene expression, population genetics
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, our mission is to make a substantial contribution to addressing the major challenges of our time – climate change and digitalisation. We build on our strong expertise in research, development, and
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analysis in Python for SasView Initial validation against reference Matlab results Clear documentation of the method, implementation choices, and limitations Recommendations for further development and
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, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating
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Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and
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group and Responsible Artificial Intelligence group at the Department of Computing Science. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research
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will work within one of the research programs at the Department of Physics and Astronomy. The specific placement will be determined at the time of appointment. The appointment is a career-development
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Johannes Cairns at the Department of Experimental Medical Science, Faculty of Medicine, Lund University. The group studies microbial evolution, antibiotic resistance, and microbial interactions using
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science, nanotechnology, life science and energy research with world-leading industrial research and development projects. The division of Condensed Matter and Materials Theory constructs models for and
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cycle. The data extraction will be based on existing machine learning development made by the team, in particular the use of quantile regression neural networks. There exists no other measurements