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Status: Closed Applications open: 16/01/2025 Applications close: 5/03/2025 View printable version [.pdf] About this scholarship Description/Applicant information The Equity Scholarship Program, (the
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offers the opportunity to work at the intersection of experimental neuroscience and computational data analysis, making it ideal for motivated individuals interested in pursuing graduate or medical
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provide support to the PI (Asst. Prof. Kean J. HSU) and other project team members on overall research administration for the projects, including coordination of research staff and trainees based on a lab
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through the integration of high-performance materials, robotics, automation, computation, and process optimization. Affordable mass customization of building designs that are produced with advanced
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to maximize productivity, affordability, quality, and safety across the construction lifecycle. 3. Identify methods to automate code compliance and verification of code compliant building designs during
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
Laboratory is offering a unique opportunity for a motivated student to pursue an industry embedded PhD in target tracking and sensor fusion. The project will involve an intensive research programme supported
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era
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candidate may be employed at Grade E or Grade F depending on qualifications. The project is led by Prof. David Crundall. You will work with a small team to help create and validate our training course, and
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and Digital Transition Program (COMPETE 2030) of Portugal 2030 . VII - Selection Methods: Evaluation of the academic record (AR) and/or Interview (I) VII.I - AR - In the evaluation of the academic
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Europeu de Desenvolvimento Regional (FEDER), through the Innovation and Digital Transition Program (COMPETE 2030) of Portugal 2030 . VII - Selection Methods: Evaluation of the academic record (AR) and/or