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activated carbon filters using advanced analytical techniques. Project overview In this PhD project, you will analyse the removal of organic micropollutants (OMPs) from wastewater in biological activated
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spaces of AI models will be analyzed in their facts using quantitative methods from data science and AI, results of which then be investigated using qualitative methods and theory of critical studies
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interdisciplinary group; good analytical and experimental skills; an excellent ability to work independently toward the goals expressed in the project plan; good oral and written English skills. Furthermore, as the
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in the subject as well as good analytical skills are desirable. Skills in CAD, powder-bed fusion technology, materials characterisation, microscopy, etc., are considered as merits. Contract terms Full
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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cells. Reference number: 20250273 Application deadline: August 10, 2025 Project overview This 5-year PhD project aims to develop a flexible and general model that enables comparison between different
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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research spans microbial ecology theory to process engineering, and includes the development of new biotechnological processes. Examples of previous research areas include: Anammox Fermentation Microbial
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behavior of programs at a high level. Automata theory — to manipulate logical formulas and domain representations. Two-player games — to reason about strategies and synthesized programs. The work involves
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and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and will cover major efforts at Sweden’s foremost universities over the next 10 years. The vision is for a