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Field
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infrastructures, and online communities. Central to the project is analyzing how digital environments create conditions for criminal practice, and how new forms of situational crime prevention can be developed
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and pursues the goal of contributing to the development of a sustainable society in the digital age through research, teaching and administration. The Institute for Software and Systems Engineering
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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins, i.e., high-fidelity
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. This PhD project contributes to PhenoRob’s initiative to develop digital twins, i.e., high-fidelity virtual representations of agricultural ecosystems. These digital twins will enhance our understanding
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of teacher education in Lleida during the 19th and 20th centuries. The PhD research line focuses on the design of a Public History digital archive targeted to historians, educators, and the wider community
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of Mines, University of Exeter, and the Bristol Digital Game Lab, University of Bristol, and benefit from consultation with the Mine Remediation Authority and Portland Community Partnership/Island Community
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
, AI applications, and scientific computing. Networking and exchange in interdisciplinary digitalization communities and at BAM digitalization events with the aim of developing innovative solutions and
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The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our
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techniques for modelling and monitoring the infusion and curing process and this PhD will bring these elements together to form a digital twin of the process. This digital twin will be used to predict
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authentication address digital risks, the physical interfaces of CPS (such as sensors and communication links) remain vulnerable and are often overlooked. A system cannot easily distinguish between genuine and