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. To assess the potential of climate interventions in the Arctic, we need to capture the complexity of cloud systems in model simulations. However, many of the processes related to cloud formation are not taken
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To automate or not to automate crisis decisions? A major challenge in crises is the combination of complexity, time pressure and moral decisions. AI has the potential to support first responders in
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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complex fiber networks in the brain and other biological tissues. The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group works on scattered light microscopy
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Design human-centred AI for effective information sharing in crisis management A major challenge in crises is the combination of complexity, time pressure and moral decisions. AI has the potential
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on effective software testing. Given the complexity and scale of these systems, detecting software errors through manual testing is often impractical and insufficient. This PhD project seeks to develop advanced
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Are you passionate about emerging technologies? Do you think Distributed Ledger Technology and smart contracts are powerful tools for designing AI systems that can be auditable and transparent
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Making alcohols from CO2 Our world is at an energy crossroads. We need to supplant fossil fuels with renewable alternatives at a global scale. The addition of renewable electricity is one part of
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proper actions to execute their inspection task, even when part of their surrounding world is unknown and dynamic. The inspection task deals with a robot walking around a perimeter and, meanwhile
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complex mathematical challenges. Have proficiency in both written and spoken English. Good mathematical background, including knowledge of statistics and optimization. Background in machine learning is a