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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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1. Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 2. Strong knowledge in semiconductor device physics. 3. At least 4
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
18 Sep 2026 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Engineering Chemistry Engineering Researcher Profile Leading Researcher (R4) Application Deadline
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exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mechanical engineering, physics, or a related field Research experience
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Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely
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We have an exciting opportunity for an ambitious PhD qualified Engineer to design and develop a new wearable technology for monitoring during pregnancy. We are particularly interested in creating a
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A Research Fellow position (equivalent to Postdoctoral Fellow in many countries/regions) is available in the School of Civil and Environmental Engineering (CEE), Nanyang Technological University
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Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills Proven
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
perovskite–silicon tandem devices. Develop scalable thin-film deposition and large-area module fabrication processes. Conduct device characterisation, performance optimisation and stability testing. Analyse
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EOS. The successful candidate will work under the supervision of Asst Prof Lujia FENG and focus on GNSS data processing and analysis for tectonic deformation studies. The primary purpose