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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills (at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI
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response to specific triggers, such as TGFB1-mediated epithelial-to-mesenchymal transition, a process that plays a key role in the formation of cancer metastases. Long term, this project aims to expand its
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projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geo-localization, space and biomedical. This PhD
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. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
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developing countries (DAC) from all over the world. It is intended to provide excellent and motivated candidates with the opportunity to strengthen their research and analytical skills throughout the process
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setups for characterisation Perform data analysis and simulations to complement experimental work Help produce independent and original research within the UdS Maser lab, submit publications to peer
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Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research into this important field
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. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond. The aim of this PhD project is to
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of this PhD position is to incorporate advanced dynamics of land-ocean coupling into this framework. Specifically, the Hydrological Discharge (HD) model simulating river runoff shall be extended with