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a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
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06.02.2024, Wissenschaftliches Personal The Livestock Systems research group at the TUM School of Science in Freising is recruiting a PhD student (m/f/d) to work on evaluating smart technologies
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"Smart Technologies for Tumor Therapy" offers, subject to the availability of resources, a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated
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Data Science Center at the Technical University of Munich, Germany. His research focuses on spatiotemporal data mining, with applications in smart transportation and smart cities, emphasizing
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a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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The successful candidate will conduct cutting-edge empirical research in at least one of the following areas Natural resources and environment, Climate change and policy, Digitalisation, AI and smart technologies
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smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree and