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) analysing the effects of different trade-offs between timber production and biodiversity under the influence of climate change, and 3) developing optimisation models based on heuristic and AI-based methods
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simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between compartments. A third possibility is to simulate the evolutionary
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education for sustainable forest and agricultural production and efficient biodiversity conservation. Our research on populations, communities and ecosystems are the basis for analyses of the effects
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that inform the development of products, services and regulations. This research explores how real-world user behavior can be more effectively integrated into life cycle assessments to support designers
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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the different organelles. Another approach is to use Monte Carlo simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between
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https://wasp-sweden.org/ for further details. We are seeking up to two qualified candidates who can collaborate effectively as a team. Research focus The project combines rigorous theoretical research
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, biodegradation by the biofilm that develops on the granule surfaces plays an important role—sometimes enhancing, sometimes impairing the removal efficiency. Despite the importance of the combined effect
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network analysis, or other digital research methods. Excellent ability to communicate effectively in spoken and written English. Ability to work independently as well as actively contribute
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and willingness to contribute to a positive work environment Motivation to complete a doctoral education Clear and effective communication skills, both oral and written All employees at MDU are expected