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communities to cascading hazards, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the
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Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities to cascading hazards
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systems Strong analytical skills and interest in interdisciplinary, real-world problem solving Good communication skills in English and the ability to collaborate with diverse stakeholders You must have a
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brain activity patterns and transforms them into actionable commands, enabling direct communication between the brain and external devices. BCIs have broad applications, from restoring movement in people
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experiments. Interest in connecting theory to experimental or real-world applications. Ability to work independently and communicate well in an international team. Research environment The PhD project will be
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spatial planning. Translate scientific results, in collaboration with stakeholders, into clear, engaging visualizations and communication materials that support understanding and inform evidence-based
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: Experience with experimental animal models Understanding of interactions between diet, intestinal microbiology and host health Knowledge of sequence-based analysis of bacterial communities Capable of working
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interdisciplinary skills Communication skills Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
processes or improving existing ones. Demonstrated ability to develop and lead ambitious research projects. Proven success in competitive external funding acquisition. Excellent communication skills and the
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient