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external seminars, colloquia and workshops to develop and enhance our research profile. 5. Contribute to the identification of potential funding sources and to assist in the development
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across Europe. Your primary tasks will be to: Design and implement manipulation strategies for mobile robotic platforms operating in unstructured mining environments Develop control methods for physical
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Within the ODAL research project, intelligent AI-based assistance systems for modular control systems are being developed together with industrial partners (e.g. 50Hertz Transmission GmbH). One
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of improving early identification and risk stratification of individuals with respect to cardiometabolic diseases (e.g. diabetes, atherosclerosis, CVD) in Asian populations. The Research Fellow will play a key
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to investigate overwintering habits, alternate plant hosts (crop and non-crop) and potential predators, that could help with pest control. The goal of this research is to investigate overwintering habits and
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a
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candidate will focus on the identification, selection, engineering, and characterization of enzymes forming a multi-component in vitro cascade for targeted metabolite production. The project will give you the
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research across the School. We study the molecular biology and genetics of pathogens and interaction with their hosts, to improve understanding and control of infectious diseases and to understand how
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models