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Join our group where you will explore catalytic mechanisms related to the production of sustainable aviation fuels from bio-based feedstocks. The work will be conducted in close connection with
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, or related fields. Candidates are expected to have a demonstrable interest in bio-inspired neural networks and probabilistic approaches, and to have an excellent command of English. Needed
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interested in organometallic and bio-inspired strategies to achieve new patterns of selectivity in bond activation and formation, with the goal of enabling practical and environmentally benign syntheses
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movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio-inspired assistive technologies. Our goal is to
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translational way, to develop novel real-time bio-inspired assistive technologies. Our goal is to establish a roadmap for discovering fundamental principles of movement at the interface between humans and
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abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, and
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid
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researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do
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) position from 1 August 2025 or as soon as possible. Job description The intelligent Advanced Materials group at the Department of Bio- and Chemical Engineering, led by Prof. Dr. Anja-Verena Mudring is