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20 Dec 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Engineering Engineering Chemistry Engineering Researcher Profile First Stage Researcher (R1
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 6 hours ago
the ecosystem of key and relevant sectors within ARPA-E’s mission. Identifying, designing, and quantifying metrics to support program development and performers success. Planned Projects: Analysis of bottlenecks
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confocal microscopy) and flow cytometry. The Postdoctoral Researcher will be expected to interact effectively with researchers from a range of different disciplines to contribute to the programme of research
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space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the University’s participation in The Alan Turing Institute, the UK
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space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the University’s participation in The Alan Turing Institute, the UK
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, pharmaceutical chemistry, eco-responsible chemistry, materials chemistry), supported by a high-performance analytical research team. The place of work will be the IRCOF building on the campus of the University
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to perform high quality research Ability to work independently as well as collaboratively Effective written and verbal communication skills and time management skills What CEU Offers We offer a competitive
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learning techniques (RF, XGBoost, NN, SISSO) to screen all the possible compositions of the half-Heusler family in order to find high ZT materials. - Propose new ML methods. - Perform DFT calculations
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of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under different
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. The position potentially targets at one of the following three high-impact research streams: Quality assurance and confidence scoring for LLM outputs Generative AI models such as LLMs can produce responses with