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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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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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About the Role: Flinders University is seeking an outstanding Associate Professor or Professorial Research Fellow to provide research leadership in electrical and electronic engineering with a focus on
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electric vehicles using AI technology. The role aims to advance thermal performance through innovative energy distribution and waste heat recovery strategies. The Postdoctoral Research Fellow will undertake
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
areas: Aerospace Engineering, Electrical Engineering, Environmental Engineering, Mechatronics. Join us in our fundamental quest of discovery and passionate pursuit of knowledge that goes beyond our lived
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Fellowships This year, the scheme supports outstanding early‑career researchers specifically in the fields of Science and Engineering, enabling them to build research momentum and establish the foundations
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Engineering Fellowships Aboriginal and Torres Strait Islander Studentships Working at CSIRO Job Alerts Search by Keyword Home Jobs All Jobs Science Management Support CERC Postdoctoral and Engineering
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& Environmental Engineering; Civil & Infrastructure Engineering; Electrical & Electronic Engineering, Biomedical Engineering; Manufacturing, Materials & Mechatronic Engineering; Mechanical & Automotive Engineering
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School of Civil Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $117,120.53 - $138,769.70 + 17% Superannuation (Academic Level
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electrical and electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks