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consists of two work packages. WP1 approaches the research question through the lens of analytical political philosophy. It will suggest and examine factors that intensify or temper the wrongness
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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industry-facing research collaboration and coordinate cross-partner workflows in planning, data-sharing, and iterative decision-making across industrial and academic stakeholders. Teach and supervise PhD
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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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analytical thinking and attention to experimental quality; proactive problem-solving mindset; committed to collegiality, good laboratory practice, and a constructive team culture. Who we are The Department
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in Python for scientific data analysis Strong analytical abilities and capacity to work collaboratively in a multidisciplinary team A PhD degree (or equivalent) in chemistry, materials science, physics
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about 47 % of all employees are internationals. In total, it has more than 1200 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its