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Field
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evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in natural settings to study insect flight and swarming dynamics across species. This will involve identifying swarming
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to co-design algorithms and circuits to develop efficient neuromorphic hardware, tailored to target tasks. In detail, you will: develop circuit-plausible training/inference algorithms and analyze in
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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. The group is responsible for the teaching in the track on Technology Law in the LLB in International and European Law and the LLM in Technology Law and Innovation and LLM in Health and Technology Law. The
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fast track PhD are also welcome. The Postdoc position is limited to two years with a possibility of extension. Payment and benefits are based on the German Public Service Payscale (TVöD Bund) guidelines
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funding. Candidate Requirements The successful candidate will require a proven track record in research fieldwork and historical methodology. In its assessment, the selection committee will prioritise
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the modification profiles of host tRNAs and rRNAs. To test this hypothesis, rRNA and tRNA will be purified from infected cells and analyzed by dRNA-seq to track changes in expression and modification profiles
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research with numerical modelling. The group also has a strong track record in data-driven modelling of unsteady flows. This project explores how paired floating vertical-axis wind turbines can enable wind
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advanced methodologies like neuroimaging, eye-tracking, virtual reality, and neural tracking, the project will investigate how foreign-accented speech affects neural responses, attention allocation, and
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numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid