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doctoral candidate at Luleå University of Technology, you will have strong opportunities to develop subject-matter expertise and build robust interdisciplinary competence. At the same time, you will be able
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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-microbe interactions, mycology, and microbial ecology. The position is placed in the Forest Microbiology group. Read more about what it is like to work at SLU at: https://www.slu.se/en/about-slu/work-at-slu
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fuels and chemicals using renewable hydrogen. The Doctoral student will develop and test advanced catalysts under realistic conditions and integrate findings with process modelling. The work will help
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, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7&validator
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of an initiative to further develop a research environment linked to the ongoing interdisciplinary project “Ancient Synagogues and the Human Sensorium ”. The project explores the sensory and
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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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for Cybersecurity in Industry 5.0 and Critical Infrastructures: From Data Fusion to Intelligence Fusion”. The aim of the project is to develop a framework based on collaborative AI concept, e.g., Agentic AI or other
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available at MAX IV. MAX IV is seeking an Industrial Relations Scientist who will be responsible for managing industrial SAXS beamtime and supporting the industrial MX users. We are developing our internal
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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