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for existing commercial products. The work will involve numerical investigation of two-phase flows over louvre panels and experimental verification as well as optimal design by using neural network techniques
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The ECE Department at NUS is seeking a Research Fellow to support advanced research in Backside Power Delivery Networks (BS-PDN) and advanced semiconductor packaging. The successful candidate will
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, bioRxiv 2026, doi: 10.64898/2026.07.30.741759) for biological systems. You will lead a computational research project extending DMMSs from population-level to single-cell data, combining neural networks
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process of continuous germplasm improvement, discovery trait research and methodology optimization to reach greater breeding efficiency. The general research technologies/methodologies and approaches
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and networking technologies. Key Responsibilities: As an integral part of the project, the Research Fellow is expected to: Design PIC components and integrate SNSPDs with photonic integrated circuits
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, fabrication, optimization and experimental characterization of polaritonic waveguides, polariton lasers, cavity/waveguide networks, and polaritonic circuit elements. The role includes developing and operating
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
clinicians, academics and health care leaders of the future who work in partnership with their patients and colleagues to provide optimal care for individuals while strengthening the system and society they
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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modelling and optimization techniques, this research aims to identify optimum design and operational strategies that enhance system flexibility, improve resilience to variable supply and demand, and minimize
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 14 hours ago
analysis and system evaluation: Collect and analyze thermal, biological, environmental, and material-performance data; evaluate system performance and identify opportunities for optimization. • Research