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Field
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October 1, 2025: Researcher (Post-Doc) (m/f/d) 80% position with a regular weekly working time of currently 31.6 hours (Reference number 06/2025) The employment relationship is limited to three years; a
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, transitioning it from a promising research tool to a commercially attractive platform. Prof. Knowles' research group uses experimental and computational biophysics and physical chemistry to study human health and
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to develop novel robotic systems that are characterised by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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the spread of pathogenicity genes between microbes and can therefore drive the emergence of novel diseases. In pathogenic fungi, an emerging global threat to both humans and our crops, the mechanisms
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artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
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are required to have a Ph.D. or equivalent in biology, ecology or related fields. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
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motivated Postdoctoral Fellow in Bioinformatics and Computational Biology to join our multidisciplinary research team studying the microbiome and host-microbe interactions of relevance to infections occurring