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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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series of wind/solar power production, as well as NWP outputs (big data), the candidate will focus on the development and testing of new forecasting models, with especial emphasis in novel AI-based methods
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effort in our laboratory to develop tools and methods to accelerate the development of new functional thin films. In addition to the work described above, you will have the chance to contribute to many
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analysis, and/or qualitative/quantitative methods. A demonstrated interest in topics pursued by the Chair team, such as knowledge creation, knowledge management, innovation processes, digital technology and
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Photochemistry Advanced characterization techniques (e.g., synchrotron facilities, in-situ methods) CO2 capture / utilization (a plus) We are looking for highly motivated researchers with a passion for
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methods. Job description With the rise in developments of and interest in generative AI and transformer-based architectures, this position will investigate new computational approaches to use LLMs
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of spintronic devices. Job description You will be responsible for developing novel spintronic devices for computing applications. The characterisation will be carried out using lab-based characterisation methods
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reconfigurable manipulation system for aerial robotics applications. Soft robotics manufacturing methods to develop meta-morphic aerostructures. Designing shape-changing control architectures. System integration