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the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
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across competence units and research centers, the AI TaskForce supports AIT's goal of embedding robust, ethical, and transparent AI practices across all applied research activities. The PhD project will
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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Requirements: very good or good university degree in physics, meteorology, fluid dynamics or comparable Description of the PhD topic: (subproject T7) In Urban air mobility, a high wind sensitivity of UAVs
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decide to return for a full-time career. What we're looking for PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer
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decide to return for a full-time career. What we're looking for PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer
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spatial distributions of active phases across multiple length scales. The PhD student will collaborate with international partners to study the evolution of crystalline and amorphous domains in the hybrid
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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faculties and the German Aerospace Centre (DLR), will conduct research on 11 research topics with 22 PhD candidates in the first funding period (05/2024 to 04/2029). The goal is to address the technical and