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Infrastructure? No Offer Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization
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theory, machine learning, optimization, and decision-making. The project seeks to develop mathematical foundations and computational methods for the analysis, learning, and coordination of complex
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network design, optimization, and orchestration across different network components, as well as to the development of sensing algorithms and ISAC solutions. The postdoctoral researcher will also play an
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to ensure efficient and stable biogas production. At the Department of Molecular Sciences, research is conducted both on process operation and optimization and on process microbiology, often in close
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experimentally. The research will be broadly situated in machine learning, including (but not limited to) algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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maintaining mtDNA integrity and stability and thereby for normal mitochondrial function and cellular energy production. Defects in the replication process can lead to mtDNA depletion or deletions and cause
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analysis. Validation of candidate pathways in tissue slices will be an additional component of the work. Optimization of functional cell-based assays to study proximal tubular epithelial cell (PTEC
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Postdoc position in Process Metallurgy Lulea Reference number 2792-2026 Do you want to develop your research and teaching in an environment where collaboration with industry and society is a natural
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screening approaches Development or optimization of molecular and experimental methods Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with
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oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional