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design with advanced structural, spectroscopic, and electrochemical characterization methods to unravel how ions, charges, and molecular interactions govern doping efficiency and stability. By exploring
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-quality educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with
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educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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description ON-TRACT focuses on advancing oligonucleotides (ONs) in medicinal chemistry to tackle urgent challenges in treating lung cancer, B-cell malignancies, and chronic inflammation. ONs are powerful tools
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of the bacterial chromosome structure. Technical building blocks could include state-space models, generative models in the form of diffusion models, deep learning, optimal transport, and probabilistic modelling in
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will work in a wide range of projects. The projects collectively show how sustainable forestry research combines advanced monitoring tools, ecological studies, and genetic approaches. They range from
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framework to incorporate annotation probabilities in hierarchical models. · Use long-term passive-acoustic datasets from at least two projects investigating the role of forest structure and composition
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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and advanced level. We are a part of the Soil, Water and Environment Center at SLU (MVM-center), which provides links to research on water systems, recycling and bioenergy. Our work is aligned
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includes studies of epigenetic mechanisms (DNA methylation) and their role in improving the understanding of the relationship between environment and health, including advanced statistical modelling of large