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devices that incorporate strategic markings, to improve the spatial resolution of 5D ED experiments (which involve both 4D-STEM and 3D ED). You will code the necessary tracking software for your developed
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two other researchers dedicated to this project. The project is in close collaboration between the Centre for Textile Science and Engineering (Prof. Lode Daelemans) and the Mechanics of Materials and
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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hardware/software accelerators and through energy-aware workload placement. The project overall will involve cutting-edge research towards holistic optimisation of energy efficiency in mobile networks by
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ID: PMP_TRR408_C5 Investigators: Prof. Dr. Allister Loder, TUM Professorship of Mobility Policy, and co-supervised by at least one leading international researcher Requirements
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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for the Endorsed Funder Route of the Global Talent Visa. We can provide an interest free loan scheme to support applicants who need to apply for a visa. Please contact Prof Yujiang Wang yujiang.wang@newcastle.ac.uk
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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. The scholarships include fee waivers. Don't hesitate to contact Prof. Calo at victor.calo@curtin.edu.au for more details. The application target date is mid-December 2023, but the review will continue until all
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23.10.2023, Wissenschaftliches Personal The Technology and Innovation Management (TIM) Group at the TUM School of Management of the Tech-nical University of Munich, headed by Prof. Dr. Joachim