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requirements, especially for reasoning about complex document collections. We’re building methods to make it easier to tell when LLM outputs can’t be trusted, and to improve systems efficiently from limited
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and production systems engineering automation and digitalization in industry industrial physics Knowledge of process modelling and design, simulation software, scenario-based modelling and testing, as
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, automation, information systems, and machine intelligence represent technological methods that are important for future in order to develop environmentally sustainable farming processes, improve energy and
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relating to teaching and learning, as well as experience with a broad range of research methods and the ability to develop them. Qualification requirements and appointment criteria Associate and assistant
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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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, clinical data) Additional skills related to the team’s future strategy, such as software development Interest in translational research, innovation, and entrepreneurship What we offer Great team! A