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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
of communicative AI appropriation by students and teachers in secondary schools and how this is interwoven with the data infrastructures, design decisions, data models, and algorithms of AI platform providers and
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Future. Discover. Together. Are you interested in next-generation data transmission? Do you want to gain experience in research and development as part of a team? We are developing innovative
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
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and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based algorithms to compute similarity between
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for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
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potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven
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: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when
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on the creation and application of predictive simulation models Collaboration on the development of data processing and fusion algorithms Collaboration on the virtual modeling of marine structures Conducting and
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. Utilize AI and statistical techniques to extract insights from large time series datasets. Collaborate within an interdisciplinary team to develop innovative algorithms for forecasting, ranging from short