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on the LTH campus. At the Division of Sustainable Energy Systems, around 20 colleagues work, two-thirds of whom are PhD students. Within the research group for Energy Management and Planning, we conduct
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PhD in natural sciences in a subject relevant to SoftiMAX Demonstrated knowledge of, and hands on experience with, using (soft) X-ray imaging/spectroscopy techniques, preferably STXM and/or ptychography
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strategies to address them within the scope of the project Develop new agentic AI methods for the autonomous configuration and deployment of 6G core functions in the edge-cloud continuum Design, develop, and
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of whom are PhD students. Within the research group for Energy Management and Planning, we conduct research and education focused on the development of efficient and environmentally friendly energy systems
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of the obtained materials. The work duties also include studying water and moisture adsorption of the nanocomposites, as well as evaluating the performances of the designed electricity generation devices. You are
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collaborate with each other as well as with other PhD students and postdocs to create new knowledge and synergies across related research activities. The successful candidates will also assist in teaching at
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methodology manuscripts, developing/maintaining software packages, teaching, supervision and other academic activities. Qualifications Requirements for the position are: PhD or equivalent foreign degree within
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aims to secure the network infrastructure of distributed AI. The focus is on designing resilient architectures and protocols that combine network-level protections with AI- and system-level adaptivity
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working time will be devoted to your own research but you will also be expected to co-supervise graduate students and collaborate with PhD-students. In addition, you may take part in other teaching
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-reviewed international journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research