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part of the Software Technology group . Research in this group focuses on using and improving functional programming languages such as Haskell and Agda, in particular for parallel computing, software
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(such as data annotation, online content creation, or software testing) provide chances for social enterprises – i.e. mission-driven business that prioritize societal impact above maximizing profit, such as
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meets multiple of the following criteria: a Master’s degree in computing science, information science, or a closely related field; strong programming skills for implementing and testing computational
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are transparent, interpretable and aligned with human needs and values. You will focus on developing, testing and reviewing a methodology to make AI systems transparent and explainable. The goal is to empower
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). This hands-on task requires precision, ingenuity, and excellent problem-solving skills. 4. Comprehensive Experimental Testing and Validation: Once the prototype is built, you will design and execute a rigorous
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on atmospheric and catchment conditions and regarding their accuracy and sensitivity to the input data. A variety of algorithms will be tested, including ANNs, WNNs, SVM and CART, with the possible extension
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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parametrisation. The models are compared to benchmark models and analysed regarding robustness and sensitivity. In a second step, the models will be tested under different climate change scenarios. The newly
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autonomous systems (innovation in robotics), enhance sensor and software capabilities (innovation in computer science), and combine these to enable large-scale automated sampling to complement vision-based
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amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling phase locked loops. The group is a world leader and initiator of many