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multidisciplinary research initiative focused on developing intelligent assistive technologies driven by brain-inspired computing. The broader goal of the project is to enable seamless interaction between humans and
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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, computer science, etc.) can also be considered. In addition, we are looking for a candidate with the following: A high level of motivation to collaborate at an interdisciplinary interface and for international
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month) will ensure participant compliance with study procedures. Under the direction of the PI and Program Coordinator, perform research-related administrative support tasks, including research data entry
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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resilient horticulture. The IGZ conducts research at the interface between plants, humans and the environment. In doing so, we address systemic and global challenges such as biodiversity loss, climate change
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guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Working capital that can be used to implement the project Mentor programme as a new employee at
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? Join us at the Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine