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their structure and electrochemical performance, and using this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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qualifications: Knowledge of polymer processing and statistical experimental design (DoE) Collaborative mindset and enthusiasm for working in interdisciplinary teams Strong organizational skills and a structured
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work alongside the Principal Investigator and postdoctoral researcher in regular project meetings, reading groups, and collaborative discussions, while developing an independent doctoral project. Your
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Vienna. Within the Competence Unit Transportation Infrastructure Technologies, our research team, specialising in structural health monitoring, structural dynamics, and bridge engineering, works closely
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neuroscience and synaptic physiology Interest in collaborative research and in supervising students Independent and reliable working style, strong team skills, and an open, collegial, and professional manner WE
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structured doctoral training and individual career development. MSCA funding covers a 36-month employment period. At host institutions where the doctoral programme is designed for four years, additional
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the growth, alignment, and assembly of framework materials using external fields (electric, magnetic, or flow) to create structured, anisotropic, and multifunctional materials. By coupling field-driven
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information and communication technologies to make our systems highly secure and reliable in the context of comprehensive digitalisation and global networking - focusing on a variety of key technologies such as
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English proficiency and strong communication skills, enabling effective work in an international academic environment A structured and independent working style, combined with strong teamwork skill