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on Cu and Cu-based alloys, including process optimisation and development of scalable powder mixing approaches. Perform microstructural and mechanical/electrical characterisation, apply computational
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at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC AI and Health Network Fellows Program. Under the supervision
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. Responsibilities* Empirically characterize sand samples through shear testing, CT scanning CAD and 3D print models for sand intrusion Design and perform impact experiments. Collect data using high-speed video
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the period of the project, not exceeding the maximum period set by FCT for such grants. RENEWAL Renewable is subject to performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https
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include: Develop an ambitious biotherapeutics program to develop new immunotherapies. Produce quality research outputs consistent with discipline norms by publishing or exhibiting in high quality outlets
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charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led project brings together
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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of wireless electric vehicle charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led
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to conduct statistical analysis, translate findings into clear and compelling written products, and perform data management tasks for a variety of health policy research projects and client
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applications, including wind engineering, sports aerodynamics, multiphase flows and consequence modelling. The candidate will have access to high-performance computing resources and established industrial